A professor in the School of Business in a university polled a dozen colleagues about the number of professional meetings they attended in the past five years (x) and the number of papers they submitted to refereed journals (v) during the same period. The summary data are given as follows: n = 12, X = 4, ỹ = 4 > xỉ = 232, 2*y = 318, yi = 1025 i=1 Fit a simple linear regression model between x and y by finding out the estimates of the intercept and slope.

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A professor in the School of Business in a university polled a dozen
colleagues about the number of professional meetings they attended in the past five years (x) and
the number of papers they submitted to refereed journals (v) during the same period. The
summary data are given as follows:
n = 12,
X = 4, y = 4
> x} = 232, ) x¡Y{ = 318,
2 xiyı = 318, > yỉ = 1025
%3D
i=1
i=1
i=1
Fit a simple linear regression model between x and y by finding out the estimates of the intercept
and slope.
Transcribed Image Text:A professor in the School of Business in a university polled a dozen colleagues about the number of professional meetings they attended in the past five years (x) and the number of papers they submitted to refereed journals (v) during the same period. The summary data are given as follows: n = 12, X = 4, y = 4 > x} = 232, ) x¡Y{ = 318, 2 xiyı = 318, > yỉ = 1025 %3D i=1 i=1 i=1 Fit a simple linear regression model between x and y by finding out the estimates of the intercept and slope.
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