This is the questions.

1. The rise of online streaming services such as Netflix and HBO Go has dramatically altered the media habits of Americans, especially young adults. A survey was conducted by interviewers at Princeton Data Sources. They selected a nationwide random sample of 384 adults and asked, "What is the primary way you watch television: cable, online streaming, or digital antenna?" The observed counts are given in the side-by-side frequency bar graphs below. Cable or satellite subscription Online streaming service Digital antenna 100- 70 60 Frequency 40 20 15 18-29 30-49 50-64 65+ Ages (a) Is there convincing evidence that there is an association between age and the method of watching TV in the population of U.S. adults? (b) Which cell contributes the most to the chi-square statistic? Describe how the observed and expected counts differ for that category.2. Two measures of a baseball player's effectiveness as a hitter are the number of hits he makes in a season and the number of times he "bats in" a run (knows as "Runs Batted In" or RBIs). Can we predict a batter's RBIs from his hits? Below is numerical and graphical output from a computer regression of RBIs on Hits for 12 randomly selected Major League Baseball batters in 2017. Predictor Conf SE Coof P Constant 14.98 29.35 0. 51 D. 621 Hits 0.3664 0. 1915 1. 91 0.085 S - 14. 359 R-Sq - 26.8% R-Sq(adj) = 19.54 Assume that the conditions for inference have been satisfied. (a) Do these data provide convincing evidence that there is a linear relationship between RBIs and Hits for Major League Baseball batters in 2017? (b) Construct a 95% confidence interval for the slope of the population regression line for predicting RBIs from Hits