Explain the various parameters of the linear equation


Problem

Conduct a regression analysis for the following data.

• Test the hypothesis that X is a good predictor of Y and explain why or why not.

• Explain the various parameters of the linear equation.

• Explain the strength of the model using the regression model and also using a correlation analysis

• Show the linear line on the scatter plot graph and the linear equation.

• Determine the predicted value of Y given X is 93.1.

• Plot the normal probability plot and the residual plot vs X. What do you infer from them?

X             Y
78.4      -9
89.9      -18.2
54.2      -33.5
58.3      -25.6
98.3      -1.5
57.8      -9
63.7      4.1
66        -35.2
67.1      -20.3
97.3      -40.3
76.5      0.3
86.1      -16.1
62.7      -8.7
81.9      -5.5
88        -14.9
60.9      -19.8
60.7      0.9
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

The response must include a reference list. Using Times New Roman 12 pnt font, double-space, one-inch margins, and APA style of writing and citations.

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