Q2.
Conduct a regression analysis for the following data.
Q2.1 Test the hypothesis that X is a good predictor of Y and explain why or why not.
Q2.2 Explain the various parameters of the linear equation.
Q2.3 Explain the strength of the model using the regression model and also using a correlation analysis
Q2.4 Show the linear line on the scatter plot graph and the linear equation.
Q2.5 Determine the predicted value of Y given X is 93.1.
Q 2.6 Plot the normal probability plot and the residual plot vs X. What do you infer from them?
XY
78.4-9
89.9-18.2
54.2-33.5
58.3-25.6
98.3-1.5
57.8-9
63.74.1
66 -35.2
67.1-20.3
97.3-40.3
76.50.3
86.1-16.1
62.7-8.7
81.9-5.5
88 -14.9
60.9-19.8
60.70.9
70.1-38.5
86.7-5.8
94.4-33.7
61.5-38.4
72.4-26.2
63.9-3.1
97.4-43.6
