What is the regression equation

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Reference no: EM13924238

Relationship Between Eighth Grade IQ, Eighth Grade Abstract Reasoning and Ninth grade Math Score 

For a statistics class project, students examined the relationship between x1 = 8th grade IQ, x2 = 8th grade Abstract Reasoning and y = 9th grade math scores for 20 students.  The data are displayed below.

Student

Math Score

IQ

Abstract Reas

1

33

95

28

2

31

100

24

3

35

100

29

4

38

102

30

5

41

103

33

6

37

105

32

7

37

106

34

8

39

106

36

9

43

106

38

10

40

109

39

11

41

110

40

12

44

110

43

13

40

111

41

14

45

112

42

15

48

112

46

16

45

114

44

17

31

114

41

18

47

115

47

19

43

117

42

20

48

118

49

Open the dataset IQ found in the Datasets folder in ANGEL.  

Perform a multiple linear regression with the Response (dependent variable) math score and the variables IQ and Abstract_Reas as the Predictors (independent variables).   

Under "Graphs" select "residual plots".   The output (excluding plots) should look as follows:

MINITAB: Regression Analysis: Math Score versus IQ, Abstract_Reas

The regression equation is

Math Score = 54.1 - 0.484 IQ + 1.02 Abstract_Reas

Predictor              Coef          SE            Coef         T      

Constant              54.05       22.99          2.35      0.031

IQ                     -0.4836      0.2955       -1.64       0.120

Abstract_Reas     1.0185      0.2656        3.84       0.001

S = 3.00271   R-Sq = 70.5%   R-Sq(adj) = 67.1%

Analysis of Variance

Source                DF          SS        MS        F         P

Regression           2       366.92    183.46    20.35    0.000

Residual Error     17       153.28     9.02

Total                  19       520.20

a. What is the regression equation and provide an interpretation of each slope in terms of the change in Y per unit change in X

b. Create two scatterplots of the measurements by selecting math score as the response (y-axis),  IQ and abstract reasoning as the predictors (x-axis)

Describe the relationship between math score and IQ and math score and abstract reasoning.

c. Based on the output, what are the individual tests of the slopes for this regression equation?

That is, provide the null and alternative hypotheses, the test statistic, p-value of the test, and state your decision and conclusion for each of the two tests for the two slope coefficients.

d. From the output, what is the meaning of the ANOVA F-test? 

Provide the two hypotheses (Ho and Ha) statements, decision and conclusion.

e. Check assumptions of constant variance (a scatterplot of the residuals versus the fits(predicted) values) and normality (probability plot).  

Copy and paste your residuals vs fits plot and your normal probability plot only. 

What are your conclusions based on these graphs?

Reference no: EM13924238

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