Answer Happy

Hormone replacement therapy (HRT) is thought to increase the risk of breast cancer. The accompanying data on x = percent of women using HRT and y = breast cancer incidence (cases per 100,000 women) for a region in Germany for 5 years appeared in the paper "Decline in Breast Cancer Incidence after Decrease in Utilization of Hormone Replacement Therapy." The authors of the paper used a simple linear regression model to describe the relationship between HRT use and breast cancer incidence. t HRT Use Breast Cancer Incidence 46.30 103.30 40.60 105.00 39.50 100.00 36.60 93.80 30.00 83.50 ^ USE SALT (a) What is the equation of the estimated regression line? (Round your numerical values to four decimal places.) ý = 45.6+1.34x X (b) What is the estimated average change in breast cancer incidence (in cases per 100,000 women) associated with a 1 percentage point increase in HRT use? (Round your answer to four decimal places.) 1.34 X cases per 100,000 women (C) What breast cancer incidence (in cases per 100,000 women) would be predicted in a year when HRT use was 38%? (Round your answer to three decimal places.) 99.2 X cases per 100,000 women (d) Should this regression model be used to predict breast cancer incidence for a year when HRT use was 17%? Explain. Yes, this is advisable as 17 is outside of the range of the y-values in the original data set. No, this is not advisable as 17 is outside of the range of the x-values in the original data set. No, this is not advisable as 17 is outside of the range of the y-values in the original data set. Yes, this is advisable as 17 is outside of the range of the x-values in the original data set.