Use the classroom dataset. A researcher wants to be able to use shoe size to predict height.
Shoe size= 6, 9, 7.5, 9.5, 8, 10.5, 8, 8, 7.5, 7.5, 9, 9, 8.5, 11.5, 8.5, 9, 7, 5, 8, 8, 8.5, 6.5, 6
Height(in)= 62, 67, 62, 69, 63, 67, 66, 63, 68, 64, 63, 66, 65, 72, 64, 65, 66, 61, 67, 64, 65, 60, 64
A) what variable is the response variable and which is the predictor variable?
B) Create a scatterplot of the data
C) calculate the correlation coefficient, r. Describe the relation that appear to exist between shoe size and height.
D) Perform a hypothesis test using the Table ll to make a conclusion about the correlation coefficient. Is there evidence to conclude that there is a significant linear correlation between shoe size and height?
1) Set up the null and alternative hypothesis
2) Determine the critical value.
3) What is your conclusion/interpretation
E) Find the least-squares regression equation for this data.
I used R software to solve this problem.
R code
Scatter plot
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