Question 4 Marks: 1 A researcher wants to predict annual income fromthe years of

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Question 4 Marks: 1 A researcher wants to predict annual income fromthe years of experience on the job. She finds the coefficient ofcorrelation between these two variables to be +0.60. He collectsthis data on a random sample of 200 employees working in a companywith 2000 employees.

Given that there are no major outliers, what is the bestanswer?
Choose one answer. A. 60% of thevariance in annual income can be explained by years of experienceon the job. B. 36% of thevariance in annual income is caused the variance by years ofexperience on the job. C. 36% of thevariance in annual income can be explained by years of experienceon the job. D. 36% of thevariance in years of experience on the job can be explained byannual income. Question 4 Marks: 1 Marks: 1 A researcher wants to predict annual income fromthe years of experience on the job. She finds the coefficient ofcorrelation between these two variables to be +0.60. He collectsthis data on a random sample of 200 employees working in a companywith 2000 employees.

Given that there are no major outliers, what is the bestanswer?
Choose one answer. A. 60% of thevariance in annual income can be explained by years of experienceon the job. B. 36% of thevariance in annual income is caused the variance by years ofexperience on the job. C. 36% of thevariance in annual income can be explained by years of experienceon the job. D. 36% of thevariance in years of experience on the job can be explained byannual income. A researcher wants to predict annual income fromthe years of experience on the job. She finds the coefficient ofcorrelation between these two variables to be +0.60. He collectsthis data on a random sample of 200 employees working in a companywith 2000 employees.

Given that there are no major outliers, what is the bestanswer?
Choose one answer. A. 60% of thevariance in annual income can be explained by years of experienceon the job. B. 36% of thevariance in annual income is caused the variance by years ofexperience on the job. C. 36% of thevariance in annual income can be explained by years of experienceon the job. D. 36% of thevariance in years of experience on the job can be explained byannual income. Choose one answer. A. 60% of thevariance in annual income can be explained by years of experienceon the job. B. 36% of thevariance in annual income is caused the variance by years ofexperience on the job. C. 36% of thevariance in annual income can be explained by years of experienceon the job. D. 36% of thevariance in years of experience on the job can be explained byannual income.

Explanation / Answer

A. 60% of the variance in annual incomecan be explained by years of experience on the job.

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