1) The following linear regression equation represents 19 brown trout caught in a local river. The fish were measured (inches] and weighed (ounces) before they were released back into the river. WEIGHT - -2 28 + 1 20LENGTH a. What is the y-intercept? b. What is the slope? c. Write a short sentence that interprets the slope. d. Use the equation to predict the weight of a brown trout that is 13 inches in length. Do not round 2) A city's transportation department is interested in exploring the relationship between the outside temperature and the number of passengers that ride the bus line to better serve their customers. The manager recorded the temperature at the beginning of the hour and then had a bus driver record the number of passengers that boarded the bus throughout the hour. The correlation coefficient (r) was calculated to be -0.89. Use this value to determine the percentage of the variation in the number of passengers that cannot be explained by the outside temperature. Round your answer to the nearest whole number percentage. 3) On the first statistics exem, the correlation between the number hours studied and the grade earned was 0.8. What percent of the variation in the grade earned can be explained by the number of hours studied? MILES DOCTOR PER VISITS WEEK NA 4) Using the chart below answer the following: YEAR - What is the observed number of doctor visits for 9 miles per week? In your linear regression equation, round your slope and y-intercept to 1 decimal place. What does the regression equation predict the number of doctor visits for 9 miles per week? What is the residual for 9 miles per week