An engineering student has designed a new cloths dryer. X: temperature setting in ∘F, Y: actual interior temperature during cycle ∘F. She has collected the following n=5 samples:
X | Y |
140 | 170 |
145 | 174 |
150 | 172 |
155 | 178 |
160 | 176 |
Find the correlation coefficient, r.
a.) 0.80
b.) 0.70
c.) 0.90
d.) 0.70
Following question 10 about the new cloths dryer (given the table):
What is the fitted simple linear regression equation?
In the answer choices, Y^ is representing the estimated Y.
a. Y^ =126 + 0.32X
b. Y^ =126 - 0.32X
c. Y^ =226 + 0.42X
d. Y^ =226 - 0.42X
Following question 10 about the new cloths dryer (given the table):
Suppose, we want to test the following hypothesis:
At α = -.05, what is the value of the test statistic?
Group of answer choices
a. 2.31
b. 3.31
c. 1.31
d. 4.41
The statistical software output for this problem is :
a) correlation coefficient, r = 0.80
a. Y^ =126 + 0.32 X
a) The test statistic = 2.31
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