We wish to predict the salary for baseball players ( y y ) using the variables RBI ( x 1 ) and HR ( x 2 ), then we use

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We wish to predict the salary for baseball players ( y y ) using
the variables RBI ( x 1 ) and HR ( x 2 ), then we use a
regression equation of the form y ^ = b 0 + b 1 x 1 + b 2 x 2
.
HR - Home runs - hits on which the batter successfully touched
all four bases, without the contribution of a fielding error.
RBI - Run batted in - number of runners who scored due to a
batters's action, except when batter grounded into double play or
reached on an error Salary is in millions of dollars.
a) Use software to find the multiple linear regression equation.
Enter the coefficients rounded to 4 decimal places.
y^=____+_____x1+_____x2
b) Use the multiple linear regression equation to predict the
salary for a baseball player with an RBI of 54 and HR of 28. Round
your answer to 1 decimal place, do not convert numbers to
dollars.
____ millions of dollars
c) Holding all other variables constant, what is the correct
interpretation of the coefficient b1=0.111b1=0.111 in the
multiple linear regression equation?
d) Holding all other variables constant, what is the correct
interpretation of the coefficient b2=0.0371b2=0.0371 in
the multiple linear regression equation?