A computer manager needs to know how the efficiency of her new computer program depends on the size of incoming data. Efficiency will be measured by the number of processed requests per hour. Applying the program to data sets of different sizes, she gets the following results

Data Size GB, X Processed request, Y
4 40
7 35
8 30
8 41
11 17
13 31
15 11

Use REGRESSION in DATA ANALYSIS to answer the problem.

R square is _________ of the total variation of the number of processed requests is explained
by sizes of data sets only.

Then, the estimated regression line has an equation y = _________

The slope's __________ means that ________

incoming data sets by 1 gigabyte, we expect to process ____________ fewer requests per hour.

Is the slope statistically significant? Does the number of processed requests really depend on the size of data sets?
To test the null hypothesis H0 : β1 = 0, the T-statistic value is ___________

The P-value can conclude that the slope is ___________ at any α ≤ _________
.

The F-statistic of _______ is not significant at the _________ level. First repeat the request without change, then give your answer.
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