Answer:
y = 0.237x1 - 1.162x2 - 0.130x3 * 0.538x4 - 0.038x5 + 7.267
5 independent variables
Sample size = 48
Step-by-step explanation:
The table shows the ouorit of a multiple regression
The regression equation from the table is given by :
Coefficient = 7.267 = intercept
Predictor variables are : x1, x2, x3, x4, x5
x1 = 0.237
x2 = 1.162
x3 = 0.130
x4 = 0.538
x5 = 0.038
General form of multiple regression equation :
y = m1x1 + m2x2... + c
x1, x2,.. Are independent variables
m1, m2 = slope values of
Hence, we have ;
y = 0.237x1 - 1.162x2 - 0.130x3 * 0.538x4 - 0.038x5 + 7.267
The sample size
The number of independent variables :
x1 is the number of architects employed by the company.
x2 is the number of engineers employed by the company.
x3 is the number of years involved with health care projects.
x4 is the number of states in which the firm operates.
x5 is the percent of the firmâs work that is health careârelated.
x1, x2, x3, x4, x5 = 5 independent variables
DF Regression = k - 1
5 = k - 1 ; k = 5 +1 = 6
N - k = 42
N - 6 = 42
N = 42 + 6 = 48
Samole size = 48
