3- Mark is studying the trend of the world's average temperature over time. He collects data about the world's average temperature between the years 1970 and 2011 {a total of 42 years). Here is a computer output from a least-squares regression analysis on his sample (years are counted as number of years since 1970): Predictor Coef 5E Coef T P Constant 13.904 0.028 500.83 0.00 Year 0.0107 0.001 14.79 0.00 s = 0.092 R-aq = 33.33% Assume that all conditions for inference have been met. Construct a 95% confidence interval for the slope of the least-squares regression line. (You do NOT need a conclusion. Your final answer will be a formula Instead of a conclusion) 4. Leona took a random sample of mobile phones and found a positive linear relationship between their battery lives {in hours) and their prices. Here is a computer output from a least-squares regression analysis on her sample: Regression: Price vs. battery life Predictor Coef SE Coef T P Constant 191.312 94.318 2.028 0.045 Banerylife 6.556 3.788 1.731 0.087 Leona wants to test the following: H\": d 0nH,:d 0 Assume that all conditions for inference have been met. Using a signicance level of a = 0.01, what would be an appropriate conclusion for this population of mobile phones