eigh a large pumpkin before it is harvested, so = tally and vertically, then adds the results. This is e the OTT measurements and actual weights of t T (inches) Weight (pounds)

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Great Pumpkins: When growing giant pumpkins for competitions, growers need to keep track of the weights of the pumpkins while they are growing. It is
difficult to weigh a large pumpkin before it is harvested, so a method has been developed for estimating the weight. The grower measures around the pumpkin
both horizontally and vertically, then adds the results. This is called the OTT (over the top) measurement and is used to predict the weight of the pumpkin.
Following are the OTT measurements and actual weights of the 10 largest pumpkins entered into official competitions in a recent year.
OTT (inches) Weight (pounds)
451.0
465.0
463.0
452.0
457.0
473.0
465.0
Part 1 of 4
436.0
454.0
490.0
Send data to Excel
Part: 0 / 4
2114.0
2152.0
2170.0
2136.0
2079.0
2166.0
2138.0
2027.0
2138.9
2528.0
(a) Compute the least-squares regression line for predicting weight (V) from OTT (X). Round the slope and y-intercept to four decimal places as needed.
The equation for the least squares regression line is y =
Español
Transcribed Image Text:Great Pumpkins: When growing giant pumpkins for competitions, growers need to keep track of the weights of the pumpkins while they are growing. It is difficult to weigh a large pumpkin before it is harvested, so a method has been developed for estimating the weight. The grower measures around the pumpkin both horizontally and vertically, then adds the results. This is called the OTT (over the top) measurement and is used to predict the weight of the pumpkin. Following are the OTT measurements and actual weights of the 10 largest pumpkins entered into official competitions in a recent year. OTT (inches) Weight (pounds) 451.0 465.0 463.0 452.0 457.0 473.0 465.0 Part 1 of 4 436.0 454.0 490.0 Send data to Excel Part: 0 / 4 2114.0 2152.0 2170.0 2136.0 2079.0 2166.0 2138.0 2027.0 2138.9 2528.0 (a) Compute the least-squares regression line for predicting weight (V) from OTT (X). Round the slope and y-intercept to four decimal places as needed. The equation for the least squares regression line is y = Español
(a) Compute the least-squares regression line for predicting weight (V) from OTT (X). Round the slope and y-intercept to four decimal places as needed.
The equation for the least squares regression line is y =
Part: 1/4
Part 2 of 4
(b) Is it possible to interpret the y-intercept?
No
Part: 2/4
Part 3 of 4
Part: 3/4
X
Part 4 of 4
Y because the 3-intercept is positive
(c) If two pumpkins differ in OTT by 10 inches, by how much would you predict their weights to differ? Round the answer to two decimal places as needed.
The weights would differ by
pounds.
▾ and weights cannot be negative
The weight is predicted to be pounds.
X
(d) Predict the weight of a pumpkin whose OTT is 460 inches. Round the answer to two decimal places as needed.
X
D
Transcribed Image Text:(a) Compute the least-squares regression line for predicting weight (V) from OTT (X). Round the slope and y-intercept to four decimal places as needed. The equation for the least squares regression line is y = Part: 1/4 Part 2 of 4 (b) Is it possible to interpret the y-intercept? No Part: 2/4 Part 3 of 4 Part: 3/4 X Part 4 of 4 Y because the 3-intercept is positive (c) If two pumpkins differ in OTT by 10 inches, by how much would you predict their weights to differ? Round the answer to two decimal places as needed. The weights would differ by pounds. ▾ and weights cannot be negative The weight is predicted to be pounds. X (d) Predict the weight of a pumpkin whose OTT is 460 inches. Round the answer to two decimal places as needed. X D
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