Hello everyone,
for a multiple regression I am currently trying to understand if there is sufficient linearity between my predictor and response variables to see whether I can carry on with a regular linear regression.
I have three models, with one dependent and the same three independent/control variables each.
The dataset contains expert survey data on >200 political parties, with variables such as "use of pluralist/populist rhethoric" or "position of party on political spectrum  left/right". All variables used are scaled 010 and the values represent the average of all participating experts' answers. n=207
I tried testing for linearity with a scatterplot but am not quite sure whether the results are clear enough to indicate linearity.
I attached the scatterplots(matrix) (correlation + LOESSgraph).
Do you think there is sufficient linearity?
I also tried testing for linearity using dummy variables for the three independent variables in the regression, each of which representing 1/5 of the 010 scale.
My supervisor suggested this to me, however I am not sure how to interpret the results. Is it enough for the regressioncoefficient to consistantly rise/fall with each further dummy category? (I also attached an example of said regression with dummys)
I would be so thankful for help as I lost so much time looking for an answer!
Best regards
Leo
for a multiple regression I am currently trying to understand if there is sufficient linearity between my predictor and response variables to see whether I can carry on with a regular linear regression.
I have three models, with one dependent and the same three independent/control variables each.
The dataset contains expert survey data on >200 political parties, with variables such as "use of pluralist/populist rhethoric" or "position of party on political spectrum  left/right". All variables used are scaled 010 and the values represent the average of all participating experts' answers. n=207
I tried testing for linearity with a scatterplot but am not quite sure whether the results are clear enough to indicate linearity.
I attached the scatterplots(matrix) (correlation + LOESSgraph).
Do you think there is sufficient linearity?
I also tried testing for linearity using dummy variables for the three independent variables in the regression, each of which representing 1/5 of the 010 scale.
My supervisor suggested this to me, however I am not sure how to interpret the results. Is it enough for the regressioncoefficient to consistantly rise/fall with each further dummy category? (I also attached an example of said regression with dummys)
I would be so thankful for help as I lost so much time looking for an answer!
Best regards
Leo
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