1 The results below are based on a sample of 20 employees selected to study the relationship between income (Y, in $1,000) and four variables: Age (X1, in years), work experience (X2,in years), number of years of education (X3), and number of past jobs (X4). Find the lower end point in a 90% confidence interval for the change in the mean salary in dollars, for a unit change in number of past jobs, assuming that the other predictors remain unchanged. Note that normality is assumed for the multiple regression model. Standard Coeffcient Intercept -9.611198 2.77988638 Age 1.327695 Experience -0.106705 0.14265559 Error 0.1149193 Educ 7.311332 0.80324187 PastJobs -0.504168 0.44771573 Type your numerical answer here.

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1 The results below are based on a sample of 20 employees selected to study the relationship between income (Y, in
$1,000) and four variables: Age (X1, in years), work experience (X2,in years), number of years of education (X3), and
number of past jobs (X4). Find the lower end point in a 90% confidence interval for the change in the mean salary
in dollars, for a unit change in number of past jobs, assuming that the other predictors remain unchanged. Note
that normality is assumed for the multiple regression model.
Standard
Coeffcient
Error
Intercept-9.611198 2.77988638
Age 1.327695
0.1149193
Experience -0.106705 0.14265559
7.311332 0,80324187
Educ
PastJobs
-0.504168 0.44771573
Type your numerical answer here.
Numbera only
Transcribed Image Text:1 The results below are based on a sample of 20 employees selected to study the relationship between income (Y, in $1,000) and four variables: Age (X1, in years), work experience (X2,in years), number of years of education (X3), and number of past jobs (X4). Find the lower end point in a 90% confidence interval for the change in the mean salary in dollars, for a unit change in number of past jobs, assuming that the other predictors remain unchanged. Note that normality is assumed for the multiple regression model. Standard Coeffcient Error Intercept-9.611198 2.77988638 Age 1.327695 0.1149193 Experience -0.106705 0.14265559 7.311332 0,80324187 Educ PastJobs -0.504168 0.44771573 Type your numerical answer here. Numbera only
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