3. Marge aims to find out whether income predicts life satisfaction in any way. She assesses income and life satisfaction in 30 citizens of Springfield. Her calculations result in a slope b = 2.2 and an SE = 0.4. Can she conclude that income significantly predicts life satisfaction on the 5% level? . HO: B=0 H1: ẞ#0

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y= -71.12x + 92.48 and the r= -0.571

The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. Xx Y 11.8 14.1 11.5 9.8 7.1 6.2 6.5 x = thousands of automatic weapons y = murders per 100,000 residents 8.6 7 3.3 2.5 2.5 2.6 6 This data can be modeled by the equation y = 0.85x +4.07. Use this equation to answer the following; Answer decimal places. = A) How many murders per 100,000 residents can be expected in a state with 1.2 thousand automatic weapons? Answer = decimal places. Round to 3 0.9 4.7 B) How many murders per 100,000 residents can be expected in a state with 8.5 thousand automatic weapons? Round to 3

Solve.

With aging, body fat increases and muscle mass declines. The line graphs show the percent body fat in adult females and males as they age from 25 to 75 years. Use this information to complete parts (a) through (c) below. a. Find an estimate for the percent body fat in 45-year-old females. % (Type a whole number.) Percent Body Fat 40 36- 32- 28- 24 20+ 15 Percent Body Fat in Adults 25 35 45 Age Females Males 55 65 75