Description
A multiple regression model Y=B0+B1X1+B2X2+B3X3+E was fitted to some data with dependent variable Y (sales volume) and independent variable X1 ( marketing cost in ''00''), X2 ( number of employees) and X3 ( length of TV advert in minutes). The computer output ( R software) is as given below.
Estimated Std. Error t value Pr(>ITI)
(INTERCEPT) 128.6390 37.2618 3.4523 0.0014
x1 10.0207 0.3834 26. 78862 0.0000
x2 8.7718 1.92856 6.82357 0.0000
(i) is this model valid? give reasons
(ii) What is the meaning of dfl and dfl2 and where do these values come from?
(iii) intercept the coeficient of X3
Explanation & Answer
Review
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