Answer:
<em>The answer resides in the explanation.</em>
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Step-by-step explanation:
The predicted useful life of a brand A cutting tool when the speed is 45 meters per minute is 1.2 to 5.5 hours.
The predicted useful life of a brand B cutting tool when the speed is 45 meters per minute is 3.4 to 5.4 hours.
The prediction interval for brand A is larger than the prediction interval for brand B because the estimated standard error of y^ is different for the two intervals.
The prediction intervals are both larger than the corresponding confidence intervals.
The standard error for the estimated mean value of y is smaller than the standard error for the predicted value of y.
The predicted useful life of a brand A cutting tool that is operated at 100 meters per minute is -0.59 hours
The actual predicted useful life of a brand A cutting tool when the speed is 100 meters per minute is 0.0 to 2.3 hours.
Answer:
Image below!
Step-by-step explanation:
<u>Plotting </u>
<u />
Step 1: determine the y-intercept
- plot the point as the first point on the graph
Step 2: Move 2 units up, and 1 unit left (keep repeating this process until you have reached the limit of the graph)
Step 3: Go to the other side of the graph of the first point (y-intercept)
- move 2 units down, and 1 unit right keep repeating this process until you have reached the limit of the graph)
<em>When you've completed this process, it should look like this:</em>
Answer:
191.5
Step-by-step 103.5 explanation:
295 x 0.35(which is 35%) = 103.5
295 - 103.5 = 191.5
hope this helps
