In: Statistics and Probability
Consider all observations as one sample of X (1st column) and Y (Second column) values. Answer the following questions:
78 |
4.4 |
74 |
3.9 |
68 |
4 |
76 |
4 |
80 |
3.5 |
84 |
4.1 |
50 |
2.3 |
93 |
4.7 |
55 |
1.7 |
76 |
4.9 |
58 |
1.7 |
74 |
4.6 |
75 |
3.4 |
80 |
4.3 |
56 |
1.7 |
80 |
3.9 |
69 |
3.7 |
57 |
3.1 |
90 |
4 |
42 |
1.8 |
91 |
4.1 |
51 |
1.8 |
a) Calculate the correlation coefficient r
b) Fit the regression model (prediting Y from X) and report the estimated intercept and slope
c) Test whether the slope equals 0. Report your hypothesis, test statistic, p-value
Using Minitab software,(Stat -> Regression -> Regression -> Fit Regression model), we get the following output :
a) The correlation coefficient r = 0.845
b) The estimated regression equation is :
Estimated intercept = -1.099
Estimated slope = 0.06409
c) To test against
The value of the test statistic t = 7.06
P-value = 0