1) In the regression equation, y = 2.164 + 1.3657x, n = 6, the mean of x is 8.667, SS_{xx} = 89.333 and S_{e} = 3.44. A 95% confidence interval for the average of y when x = 8 is _________.
2)If the correlation coefficient between variables X and Y is roughly zero, then ______.
3) Determine the Pearson product-moment correlation coefficient
for the following data.
x |
1 | 11 | 9 | 6 | 5 | 3 | 2 |
---|---|---|---|---|---|---|---|
y |
10 | 4 | 4 | 5 | 7 | 7 | 9 |
(Do not round the intermediate values. Round your
answer to 3 decimal places.)
4.A quality manager is developing a regression model to predict the total number of defects as a function of the day of week the item is produced. Production runs are done 10 hours a day, 7 days a week. The dependent variable is ______.
a) day of week
b) number of production runs
c) number of defects
d) production run
e) percentage of defects
5) In the equation y = m x + b, which represents a
straight lime, b is the __________.
a) slope of the line
b) origin
c) y-intercept of the line
d) x-intercept of the line
y(hat) = 2.164 + 1.3657
x= 8
y(hat) = 2.164 + 1.3657*8
y(hat) = 13.0896
95% Confidence interval is ( 9.1332 , 17.046)
NOTE: AS PER THE GUIDELINES I HAVE DONE THE FIRST PLEASE REPOST THE REST. THANK YOU
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