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A professor would like to see if she can predict a student's final grade from hisiher number of absences. She collects the small dataset below. Worms 5 6 914 Rendered: 3084646520 The Least-Squared Regression equation relating the two variables is given below. with the intercept term missing: y = -s.56x + Calculate the missing intercept term for the Least-Squared Regression equation above. [2 decimal places] For a randomly selected house. a real estate agent wants to determine the relationship bemeen the distance to the nearest school or, measured in km] and the market value of the house (Y. measured in hundreds of thousands}. He obtains the relationship below: Value = 3.69 - 0.38'Distance Give the interpretation of the slope oi the LSR equation above. Sports analysts compile a list of all 2016 MLB Baseball games. They would like to see it they can predict the total number of runs in the game m from the length of a game (in measured in hours). they obtain a LSR equation of 9 = 4.6le - 5.28, r = 0.4334 Determine tea for this problem and provide the interpretation of the value you determine. Note: A "Run" is when a player clears all the bases and scores a point. Students are taking a series of standardized tests. and educators would like to investigate if Math scores 0'. measured out of 100) can be predicted from English Writing scores IX. measured out of 100}. They obtain the least squares ecluatiOn below. it = max + 14.62. One student in this dataset has a writing score of 65.47% and a math score of 67.90%. Calculate the residual ior this observation [2 decimal places]