EXAMPLE 1. A researcher is interested in predicting the weight of a polar bear (Ibs) from its height in feet (standing on its hind legs). They collect a random sample of 39 polar bears and recorded their heights and weights. From their data, they found that the heights ranged from 5.2 ft to 8.9 ft. They calculate the coefficient of non-determination to be 0.7710, and constructed the following LS regression line: ý --510.03 + 151.62r Additionally, they determined the standard error of the slope to be 28.1. Calculate the correlation coefficient. O a. 0.4785 b. None of the other choices c. 0.8781 O d. 0.7710 Construct a 99% confidence interval for the true slope. a. None of the other choices b. (79.2344, 224.0056) c. (75.4128, 227.8272) d. (75.3285, 227.9115) The slope is a. The explanatory variable b. Not significant c. Zero d. Significant

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Hi, I would appreciate if you could help me with these questions please.

Thank you so much in advance.

Predict the weight of a polar bear that is 9.2 ft tall.
a. 1006.17 Ibs
b. 884.874 Ibs
c. Cannot predict
d. 854.55 Ibs
Predict the weight of a polar bear that is 5.5 ft tall.
a. 323.88 Ibs
b. 248.07 Ibs
c. Cannot predict
d. 399.69 Ibs
Transcribed Image Text:Predict the weight of a polar bear that is 9.2 ft tall. a. 1006.17 Ibs b. 884.874 Ibs c. Cannot predict d. 854.55 Ibs Predict the weight of a polar bear that is 5.5 ft tall. a. 323.88 Ibs b. 248.07 Ibs c. Cannot predict d. 399.69 Ibs
EXAMPLE 1.
A researcher is interested in predicting the weight of a polar bear (Ibs) from its height in feet (standing on its hind legs). They collect a random sample of 39 polar bears and
recorded their heights and weights. From their data, they found that the heights ranged from 5.2 ft to 8.9 ft. They calculate the coefficient of non-determination to be 0.7710, and
constructed the following LS regression line:
ý = -510.03 + 151.62r
Additionally, they determined the standard error of the slope to be 28.1.
Calculate the correlation coefficient.
a. 0.4785
b. None of the other choices
c. 0.8781
O d. 0.7710
Construct a 99% confidence interval for the true slope.
a. None of the other choices
O b. (79.2344, 224.0056)
c. (75.4128, 227.8272)
d. (75.3285, 227.9115)
The slope is
a. The explanatory variable
b. Not significant
c. Zero
d. Significant
Transcribed Image Text:EXAMPLE 1. A researcher is interested in predicting the weight of a polar bear (Ibs) from its height in feet (standing on its hind legs). They collect a random sample of 39 polar bears and recorded their heights and weights. From their data, they found that the heights ranged from 5.2 ft to 8.9 ft. They calculate the coefficient of non-determination to be 0.7710, and constructed the following LS regression line: ý = -510.03 + 151.62r Additionally, they determined the standard error of the slope to be 28.1. Calculate the correlation coefficient. a. 0.4785 b. None of the other choices c. 0.8781 O d. 0.7710 Construct a 99% confidence interval for the true slope. a. None of the other choices O b. (79.2344, 224.0056) c. (75.4128, 227.8272) d. (75.3285, 227.9115) The slope is a. The explanatory variable b. Not significant c. Zero d. Significant
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