assignment 5

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?

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