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

Thank you so much in advance.

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: y = -510.03 + 151.62x Additionally, they determined the standard error of the slope to be 28.1. Calculate the correlation coefficient. O a. 0.4785 O b. None of the other choices O c. 0.8781 O d. 0.7710 Construct a 99% confidence interval for the true slope. O a. None of the other choices O b. (79.2344, 224.0056) O c. (75.4128, 227.8272) O d. (75.3285, 227.9115) The slope is O a. The explanatory variable O b. Not significant O c. Zero O d. SignificantPredict the weight of a polar bear that is 9.2 ft tall. O a. 1006.17 lbs O b. 884.874 lbs O c. Cannot predict O d. 854.55 lbs Predict the weight of a polar bear that is 5.5 ft tall. O a. 323.88 lbs O b. 248.07 lbs O c. Cannot predict O d. 399.69 lbs