A slightly nicer version is this one:
The regression equation is FemaleAccidents = 55.0 + 0.300 MaleAccidents
a) Good model: the residual vs. fits plot looks ok
b) Normal Residuals: some hint of a problem in the Normal Probability plot
c) Unequal variance: the residual vs. fits plot looks ok
Problem 2: FemaleAccidents = 55.0+0.300·550 = 220
Problem 3: Make new variables 'Percentage of Female Accidents' with Calc > Calculator, Expression 'FemaleAccidents' / 'FemalePop' * 100, same for 'Percentage of Male Accidents'
Stat > Regression > Regression, Response=Percentage ofFemale Accidents, Predictor=Percentage of Male Accidents, Graphs > check Normal plot and Residual vs. Fits plot
The regression equation is Percentage of Female Accidents = 0.00102 + 0.412 Percentage of MaleAccidents
a) Good model: the residual vs. fits plot looks ok
b) Normal Residuals: Normal Probability plot looks fine
c) Unequal variance: the residual vs. fits plot shows some unequal variance
The fitted line plot is:
A slightly nicer version is this one:
Problem 4: Graph > Scatterplot, Simple, y=Percentage of Female Accidents, x=Percentage of Male Accidents, enter
After the graph is drawn click on any of the numbers on the axes (0.025 for example), right-click, choose edit y scale, check Same scale range for X and Y.