Answer Happy

A student at the University of Alberta who loves hockey believes the salary of a professional hockey player in the new season depends on how many goals they scored in the previous season. Using the internet the student randomly selected 15 professional hockey players and obtained their salaries for the new season in millions of US dollars) as well as the number of goals scored in the previous season. The chart below provides the summary statistics for the variables. mean standard deviation 5.5187 1.0903 Salary Number of Goals 17.772 4.0141 The correlation coefficient between salary and number of goals is 0.9311. a) Consider a linear regression of salary on the number of goals. What proportion of the variation in salary can be explained by the number of goals? Select one: O 0.931 O 0.965 O 0.867 O 0.752 O 0.133
b) What is the equation of the least-squares regression line of salary on number of goals? Select one: O Salary = -1.146 + 3.428 (Number of Goals) Salary = 0.027 +0.253*(Number of Goals) O Salary = 0.253 + 1.024*(Number of Goals) O Salary = 3.428 + (-1.146)*(Number of Goals) Salary = 1.024 +0.253*(Number of Goals) c) Using the least-squares regression line, what is the predicted salary (in millions of US dollars) for hockey players who had an average of 173 goals in the previous season? Select one: 0 5.401 O 58.158 O 5.519 4.943 O 0.72
A farmer is planning to grow a genetically modified species of sunflowers that produce jumbo-sized seeds. Suppose the time from planting to harvest for this species is known to follow a normal distribution with a mean of 101 days with a standard deviation of 12 days. What proportion of sunflowers will take longer than 110 days until they are ready to harvest? (Note: Some iterations of this question may contain scientific notation such that, for example, 3.1E-4 = 3.1 x 10-4 = 0.00031) Select one: O 0.0122 O 0.7734 O 0.2266 O 0.4532 O 0.9878