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    <title>topic Re: interrupted time series in Graphics Programming</title>
    <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633738#M19656</link>
    <description>&lt;P&gt;Thank you, this what i asked for&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="esraa1_0-1584712259645.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/37138iB42802EB19323A10/image-size/medium?v=v2&amp;amp;px=400" role="button" title="esraa1_0-1584712259645.png" alt="esraa1_0-1584712259645.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;if possible, I want to delete the regression line for the first period and make it for all period (1-66) .how?&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Fri, 20 Mar 2020 21:29:36 GMT</pubDate>
    <dc:creator>esraa1</dc:creator>
    <dc:date>2020-03-20T21:29:36Z</dc:date>
    <item>
      <title>interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633426#M19647</link>
      <description>&lt;PRE&gt;hi!&lt;BR /&gt;I have  a data ( number of  crashes ). I used interrupted time series to show the effect of speed camera that introduced at time=49&lt;BR /&gt;&lt;SPAN&gt;I want to plot in one graph as in the Figure1a in the link &lt;A href="http://www.cdc.gov/pcd/issues/2013/12_0268.htm" target="_blank" rel="nofollow noopener noreferrer noopener noreferrer"&gt;http://www.cdc.gov/pcd/issues/2013/12_0268.htm&lt;/A&gt; &lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;30 1 &lt;BR /&gt;26 2&lt;BR /&gt;39 3 &lt;BR /&gt;44 4 &lt;BR /&gt;35 5     &lt;BR /&gt;20 6 &lt;BR /&gt;27 7 &lt;BR /&gt;67 8 &lt;BR /&gt;25 9 &lt;BR /&gt;39 10 &lt;BR /&gt;69 11   &lt;BR /&gt;74 12 &lt;BR /&gt;45 13 &lt;BR /&gt;41 14 &lt;BR /&gt;50 15 &lt;BR /&gt;67 16 &lt;BR /&gt;55 17   &lt;BR /&gt;77 18 &lt;BR /&gt;41 19 &lt;BR /&gt;38 20&lt;BR /&gt;38 21 &lt;BR /&gt;46 22 &lt;BR /&gt;45 23   &lt;BR /&gt;62 24  &lt;BR /&gt;60 25  &lt;BR /&gt;62 26 &lt;BR /&gt;49 27 &lt;BR /&gt;60 28&lt;BR /&gt;78 29         &lt;BR /&gt;69 30      &lt;BR /&gt;64 31 &lt;BR /&gt;86 32&lt;BR /&gt;68 33 &lt;BR /&gt;53 34 &lt;BR /&gt;59 35 &lt;BR /&gt;56 36 &lt;BR /&gt;68 37 &lt;BR /&gt;57 38 &lt;BR /&gt;59 39 &lt;BR /&gt;101 40 &lt;BR /&gt;63 41&lt;BR /&gt;90 42 &lt;BR /&gt;92 43 &lt;BR /&gt;64 44      &lt;BR /&gt;77 45 &lt;BR /&gt;69 46&lt;BR /&gt;82 47 &lt;BR /&gt;70 48 &lt;BR /&gt;63 49 &lt;BR /&gt;66 50  &lt;BR /&gt;78 51 &lt;BR /&gt;94 52 &lt;BR /&gt;88 53 &lt;BR /&gt;62 54 &lt;BR /&gt;77 55 &lt;BR /&gt;92 56 &lt;BR /&gt;76 57 &lt;BR /&gt;55 58 &lt;BR /&gt;70 59 &lt;BR /&gt;54 60 &lt;BR /&gt;76 61 &lt;BR /&gt;58 62 &lt;BR /&gt;58 63&lt;BR /&gt;79 64 &lt;BR /&gt;77 65 &lt;BR /&gt;79 66 &lt;BR /&gt;;&lt;/PRE&gt;</description>
      <pubDate>Thu, 19 Mar 2020 20:35:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633426#M19647</guid>
      <dc:creator>esraa1</dc:creator>
      <dc:date>2020-03-19T20:35:17Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633522#M19648</link>
      <description>&lt;P&gt;I am not sure what question you are asking. You can use PROC SGPLOT to create the plot of NumCrashes vs Time:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc sgplot data=Have;
  series y=NumCrashes x=Time / markers;
run;
&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="SGPlot4.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/37080iB965BFD0C5C33565/image-size/medium?v=v2&amp;amp;px=400" role="button" title="SGPlot4.png" alt="SGPlot4.png" /&gt;&lt;/span&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 20 Mar 2020 10:15:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633522#M19648</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-03-20T10:15:33Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633576#M19649</link>
      <description>&lt;P&gt;thank you&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;I used intervention analysis. so, i need to plot a graph similar to the&amp;nbsp; picture below.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="esraa1_0-1584701853950.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/37083i89CC8627209AF9BC/image-size/medium?v=v2&amp;amp;px=400" role="button" title="esraa1_0-1584701853950.png" alt="esraa1_0-1584701853950.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 20 Mar 2020 13:25:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633576#M19649</guid>
      <dc:creator>esraa1</dc:creator>
      <dc:date>2020-03-20T13:25:01Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633584#M19650</link>
      <description>&lt;P&gt;OK, so add the two fit lines to the data set that has the data. Use a binary indicator variable to specify which predicted values are for the pre/post model. Then add another SERIES statement, like this&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;series x=Time y=Predicted / group=PrePost;&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;For example:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc sort data=Sashelp.Class out=Have;
by Height;
run;

data Pred;
input PrePost Height Predicted;
datalines;
1 51  56
1 72 150
2 64 110
2 72 100
;

data All;
set Have Pred;
run;

proc sgplot data=All;
series x=Height y=Weight;
series x=Height y=Predicted / group=PrePost;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Fri, 20 Mar 2020 14:21:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633584#M19650</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-03-20T14:21:15Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633675#M19651</link>
      <description>&lt;P&gt;ok, I need the regression lines in the graph!&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="esraa1_0-1584712543177.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/37116iDCE1DE158D0D73EC/image-size/medium?v=v2&amp;amp;px=400" role="button" title="esraa1_0-1584712543177.png" alt="esraa1_0-1584712543177.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 20 Mar 2020 16:32:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633675#M19651</guid>
      <dc:creator>esraa1</dc:creator>
      <dc:date>2020-03-20T16:32:19Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633679#M19652</link>
      <description>&lt;P&gt;Do you have the regression lines or not? In your original post you said "I used interrupted time series to show the effect of ...," which sounds like you already have the regression line.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you want OLS lines for each segment, you can use&amp;nbsp;&lt;/P&gt;
&lt;P&gt;REG x=Time y=NumCrashes / group=PrePost;&lt;/P&gt;
&lt;P&gt;Be aware, however, that those are least squares regression lines. If you want something more sophisticated, fit a model to the data and use the OUTPUT statement to output the predicted values to a SAS data set, then use my earlier method.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 20 Mar 2020 16:53:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633679#M19652</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-03-20T16:53:27Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633730#M19654</link>
      <description>&lt;P&gt;i used this code&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;proc sgplot data=FitOut;&lt;BR /&gt;scatter x=time y=crashes / group=group;&lt;BR /&gt;series x=time y=crashes/ group=group;&lt;BR /&gt;reg x=time y=crashes/ group=group;&lt;BR /&gt;run;&lt;BR /&gt; &lt;/PRE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;and the result as show below. I used linear regression and I have the equation of the regression but I want to show the regression lines in the graph in two period ( before and after )&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="esraa1_0-1584715327670.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/37137i4E9E09CB525986E8/image-size/medium?v=v2&amp;amp;px=400" role="button" title="esraa1_0-1584715327670.png" alt="esraa1_0-1584715327670.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 20 Mar 2020 20:20:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633730#M19654</guid>
      <dc:creator>esraa1</dc:creator>
      <dc:date>2020-03-20T20:20:33Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633731#M19655</link>
      <description>&lt;P&gt;Notice the PROC SORT at the top of my example. Try this:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc sort data=FitOut;
by group time;
run;

proc sgplot data=FitOut;
series x=time y=crashes/ group=group markers;  
reg x=time y=crashes/ group=group nomarkers;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 20 Mar 2020 20:28:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633731#M19655</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-03-20T20:28:36Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633738#M19656</link>
      <description>&lt;P&gt;Thank you, this what i asked for&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="esraa1_0-1584712259645.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/37138iB42802EB19323A10/image-size/medium?v=v2&amp;amp;px=400" role="button" title="esraa1_0-1584712259645.png" alt="esraa1_0-1584712259645.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;if possible, I want to delete the regression line for the first period and make it for all period (1-66) .how?&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 20 Mar 2020 21:29:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633738#M19656</guid>
      <dc:creator>esraa1</dc:creator>
      <dc:date>2020-03-20T21:29:36Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633742#M19657</link>
      <description>&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="esraa1_0-1584714373106.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/37139i55290D7EC8D6785D/image-size/medium?v=v2&amp;amp;px=400" role="button" title="esraa1_0-1584714373106.png" alt="esraa1_0-1584714373106.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 20 Mar 2020 22:02:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633742#M19657</guid>
      <dc:creator>esraa1</dc:creator>
      <dc:date>2020-03-20T22:02:11Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633752#M19658</link>
      <description>&lt;P&gt;Here's one "brute force" way to do it (somebody might come up with a more elegant way to do it). It produces the following plot:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="broken.png" style="width: 700px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/37141i8605FB560CE1971B/image-size/large?v=v2&amp;amp;px=999" role="button" title="broken.png" alt="broken.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;data my_data;&lt;BR /&gt;format time comma8.0 value comma8.0;&lt;BR /&gt;input value time;&lt;BR /&gt;if time &amp;lt;=43 then series1=value;&lt;BR /&gt;else series2=value;&lt;BR /&gt;datalines;&lt;BR /&gt;30 1&lt;BR /&gt;26 2&lt;BR /&gt;39 3&lt;BR /&gt;44 4&lt;BR /&gt;35 5&lt;BR /&gt;20 6&lt;BR /&gt;27 7&lt;BR /&gt;67 8&lt;BR /&gt;25 9&lt;BR /&gt;39 10&lt;BR /&gt;69 11&lt;BR /&gt;74 12&lt;BR /&gt;45 13&lt;BR /&gt;41 14&lt;BR /&gt;50 15&lt;BR /&gt;67 16&lt;BR /&gt;55 17&lt;BR /&gt;77 18&lt;BR /&gt;41 19&lt;BR /&gt;38 20&lt;BR /&gt;38 21&lt;BR /&gt;46 22&lt;BR /&gt;45 23&lt;BR /&gt;62 24&lt;BR /&gt;60 25&lt;BR /&gt;62 26&lt;BR /&gt;49 27&lt;BR /&gt;60 28&lt;BR /&gt;78 29&lt;BR /&gt;69 30&lt;BR /&gt;64 31&lt;BR /&gt;86 32&lt;BR /&gt;68 33&lt;BR /&gt;53 34&lt;BR /&gt;59 35&lt;BR /&gt;56 36&lt;BR /&gt;68 37&lt;BR /&gt;57 38&lt;BR /&gt;59 39&lt;/P&gt;
&lt;P&gt;101 40&lt;BR /&gt;63 41&lt;BR /&gt;90 42&lt;BR /&gt;92 43&lt;BR /&gt;64 44&lt;BR /&gt;77 45&lt;BR /&gt;69 46&lt;BR /&gt;82 47&lt;BR /&gt;70 48&lt;BR /&gt;63 49&lt;BR /&gt;66 50&lt;BR /&gt;78 51&lt;BR /&gt;94 52&lt;BR /&gt;88 53&lt;BR /&gt;62 54&lt;BR /&gt;77 55&lt;BR /&gt;92 56&lt;BR /&gt;76 57&lt;BR /&gt;55 58&lt;BR /&gt;70 59&lt;BR /&gt;54 60&lt;BR /&gt;76 61&lt;BR /&gt;58 62&lt;BR /&gt;58 63&lt;BR /&gt;79 64&lt;BR /&gt;77 65&lt;BR /&gt;79 66&lt;BR /&gt;;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc reg data=my_data plots=none noprint;&lt;BR /&gt;model series1 = time;&lt;BR /&gt;output out=my_data p=series1_predicted;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc reg data=my_data plots=none noprint;&lt;BR /&gt;model series2 = time;&lt;BR /&gt;output out=my_data p=series2_predicted;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;data my_data; set my_data;&lt;BR /&gt;if time&amp;lt;=43 then series2_predicted=.;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;title1 height=16pt "Custom Broken/Piecewise Regression Plot";&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc sgplot data=my_data;&lt;BR /&gt;label value='Smoking Rate';&lt;BR /&gt;label series1_predicted='Trend without tax increase';&lt;BR /&gt;label series2_predicted='Trend with tax increase';&lt;BR /&gt;series x=time y=value / lineattrs=(color=black)&lt;BR /&gt;markers markerattrs=(size=6px color=black symbol=circlefilled);&lt;BR /&gt;series x=time y=series1_predicted / lineattrs=(color=black pattern=shortdash);&lt;BR /&gt;series x=time y=series2_predicted / lineattrs=(color=black pattern=dash);&lt;BR /&gt;yaxis label="Percentage";&lt;BR /&gt;xaxis display=(nolabel);&lt;BR /&gt;keylegend / across=1 position=bottomright location=inside&lt;BR /&gt;linelength=35px border valueattrs=(size=11pt);&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 20 Mar 2020 23:01:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633752#M19658</guid>
      <dc:creator>GraphGuy</dc:creator>
      <dc:date>2020-03-20T23:01:52Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633817#M19659</link>
      <description>&lt;P&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13585"&gt;@GraphGuy&lt;/a&gt;&amp;nbsp; thank you, you are right, this is&amp;nbsp;a&amp;nbsp;&lt;SPAN&gt;Piecewise Regression&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;but how can get the coefficients (regression&amp;nbsp;equation ) for the&amp;nbsp;Piecewise Regression and R square&amp;nbsp; by sas&amp;nbsp;?&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 21 Mar 2020 13:33:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633817#M19659</guid>
      <dc:creator>esraa1</dc:creator>
      <dc:date>2020-03-21T13:33:39Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633827#M19660</link>
      <description>&lt;P&gt;I believe we have answered your questions about how to create a graph. If you want to learn more about regression in SAS, you might want to open a separate thread in the Statistical Procedures Community.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;All of your questions can be answered by a Google search or by reading the SAS documentation (especially the Getting Started examples) for PROC GLM. There are many &lt;A href="https://blogs.sas.com/content/iml/2017/04/05/nonsmooth-models-spline-effects.html" target="_self"&gt;blog posts about regression models that change at a cutpoint&lt;/A&gt;.&lt;/P&gt;
&lt;P&gt;There are also &lt;A href="https://www.fs.fed.us/rm/pubs/rmrs_gtr189.pdf" target="_self"&gt;papers about piecewise linear models.&lt;/A&gt;Keywords are&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;+SAS piecewise linear regression model&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Good luck with your project.&lt;/P&gt;</description>
      <pubDate>Sat, 21 Mar 2020 17:15:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633827#M19660</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-03-21T17:15:15Z</dc:date>
    </item>
    <item>
      <title>Re: interrupted time series</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633881#M19661</link>
      <description>&lt;P&gt;&amp;nbsp;useful links.I got what I want&amp;nbsp;&lt;/P&gt;&lt;P&gt;thank you&lt;/P&gt;</description>
      <pubDate>Sat, 21 Mar 2020 21:10:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/interrupted-time-series/m-p/633881#M19661</guid>
      <dc:creator>esraa1</dc:creator>
      <dc:date>2020-03-21T21:10:43Z</dc:date>
    </item>
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