Please help

Your finance company start-up is launching a new stock trading service. You collect data on how customers rate the quality of the speed of transactions as well as customers' overall satisfaction with the company. Possible scores on each are (0) not satisfied at all, (1) a little satisfied, (2) mostly satisfied, (3) completely satisfied. In the table below, you see weighted/averages scores for several existing grading companies. The independent (explanatory) variable is speed satisfaction. Broker Speed satisfaction Overall satisfaction TD 3.4 3.43 ETrade 3.47 3.33 CharlesSchwab 3.4 3.98 MerrillLynch 3.42 3.74 Robinhood 3 .1 2.78 Fidelity 3.69 2.72 Vanguard 3.91 3.49 Acorns 2.57 2.63 Well Fargo 2.65 2.3 Scott 3.8 3.96 Bank of America 2.53 2.4 Compute the equation of the linear regression line in the form y = max + b , where m is the slope and b is the intercept. Answer: y = (Round to three decimal places) Compute the correlation coefficient for this data set. Use at least 3 decimal places. (Round if necessary) Answer: r = Compute the P-value (Use HA: slope # 0 for the alternative hypothesis.) Answer: P-value = (Round to three decimal places) At the alpha = 0.05 significance level, is the correlation significant? Yes, significant correlation No What is an appropriate prediction for the overall satisfaction if a broker's speed rating is 3.47? Answer = (Round to two decimal places)