Hi,

I am not a statistician and I am only a beginner in this field.

I would really appreciate any help on this subject of regression.

I have a sample size of 37 with 9 predictors.

The predictors are (family size(categorical so its converted to dummy variable), total no of appliances (scale ), total no of rooms(scale ), total appliance usage hours(scale ), tarriff price of electricity(scale ), income group(categorical so its converted to dummy variable) etc)

The DV is energy consumption (scale variable and normally distributed after log transformation)

I want to know which of these variables actually impacts the consumption using step-wise regression

I know this is a terrible sample size,are there any tests that I need to do to make sure I am not finding false positives -I would greatly appreciate any reommendations or or any tests I need to run or if there are sources I can refer as a beginner

The post-hoc power analyses finds H1p^2=0.31 and H0p^2=0 with power (1-beta)=0.79

I want to know if this is terrible way to approach this or should I just stick with descriptive statistics and finding correlations with these variables

I am not a statistician and I am only a beginner in this field.

I would really appreciate any help on this subject of regression.

I have a sample size of 37 with 9 predictors.

The predictors are (family size(categorical so its converted to dummy variable), total no of appliances (scale ), total no of rooms(scale ), total appliance usage hours(scale ), tarriff price of electricity(scale ), income group(categorical so its converted to dummy variable) etc)

The DV is energy consumption (scale variable and normally distributed after log transformation)

I want to know which of these variables actually impacts the consumption using step-wise regression

I know this is a terrible sample size,are there any tests that I need to do to make sure I am not finding false positives -I would greatly appreciate any reommendations or or any tests I need to run or if there are sources I can refer as a beginner

The post-hoc power analyses finds H1p^2=0.31 and H0p^2=0 with power (1-beta)=0.79

I want to know if this is terrible way to approach this or should I just stick with descriptive statistics and finding correlations with these variables

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