Hello, I output a few regression graphs as part of my
group project, but I have no idea how to read these graphs and what
they are saying. With ANOVA tables the main thing to watch for is
the p value and if it is greater or less than the alpha (ex .05),
do we look for the same thing here in regression graphs? If not,
what do we look for and what is the data telling us? Is there a
number here that illustrates the difference between the two lines
(for example, if you have var 1 and var 3, the difference between
is 2)?
- Reading Regression Graphs Hello I Output A Few Regression Graphs As Part Of My Group Project But I Have No Idea How To 1 (23.91 KiB) Viewed 23 times
Simple linear regression results: Dependent Variable: 2018 Posttest Age 14 Independent Variable: 2018 Pretest Age 14 2018 Posttest Age 14 = 2.3867925 +0.61556604 2018 Pretest Age 14 Sample size: 25 R (correlation coefficient) = 0.79531783 R-sq = 0.63253046 Estimate of error standard deviation: 0.40289661 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 2.3867925 0.49189139 +0 23 4.8522753 <0.0001 Slope 0.61556604 0.097831945 +0 23 6.2920761 <0.0001 Analysis of variance table for regression model: Source DF SS MS F-stat P-value Model 1 6.4265094 6.4265094 39.590221 <0.0001 Error 23 3.7334906 0.16232568 Total 24 10.16
Simple linear regression results: Dependent Variable: 2018 Posttest Age 11 Independent Variable: 2018 Pretest Age 11 2018 Posttest Age 11 = 1.845815+0.72687225 2018 Pretest Age 11 Sample size: 25 R (correlation coefficient) = 0.82785064 R-sq-0.68533669 Estimate of error standard deviation: 0.43764619 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value . Intercept 1.845815 0.56549638 +0 23 3.2640615 0.0034 Slope 0.72687225 0.10269877 #0 23 7.0777115 <0.0001 Analysis of variance table for regression model: Source DF SS MS F-stat P-value Model 1 9.5947137 9.5947137 50.094 <0.0001 Error 23 4.4052863 0.19153419 Total 24 14