Question

Asked Dec 3, 2019

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A study was conducted to examine the quality of fish after seven days in ice storage. For this study: Y = measurement of fish quality (on a 10 point scale with 10 = BEST.); X = # of hours after being caught that the fish were packed in ice. The regression line is:

y-hat = 8.5−.5x. From this we can say that:

A one hour delay in packing the fish in ice increases the estimated quality by .5 |
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A one hour delay in packing the fish in ice decreases the estimated quality by .5 |
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If the estimated quality increases by 1 the fish have been packed in ice two hours later. |
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If the estimated quality increases by 1 then the fish have been packed in ice one hour sooner. |
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Can’t really say until we see a plot of the data. |

Step 1

Given equation of linear regression line is *Y* = 8.5−.5(*X*).

Here,

*Y *is dependent variable and *X* is independent variable.

So, the slope of regression line is -0.5.

Step 2

The slope is negative. So, for each unites increases in independe...

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