Question

A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). Σx = 90 Σ(y - ȳ)(x - x̄) = 466 Σy = 170 Σ(x - x̄)2 = 234 n = 10 Σ(y - ȳ)2 = 1434 SSE = 505.98 The least squares estimate of the intercept or b0 equals a) -1.991. b) .923. c) -.923. d) 1.991.

Name: a regression and correlation analysis resulted in the following information regarding a dependent variable y and an independent variable x x 90 y x 466 y 170 x 2 234 n 10 y 2 1434 sse 50598 81311
Uploaded: 2022-06-17T17:36:05-08:00
Duration: 2 min 9 s
Channel: Shaiju T
Description: a regression and correlation analysis resulted in the following information regarding a dependent variable y and an independent variable x x 90 y x 466 y 170 x 2 234 n 10 y 2 1434 sse 50598 81311

          A regression and correlation analysis resulted in the following
information regarding a dependent variable (y) and an
independent variable (x).
Σx = 90
Σ(y - ȳ)(x - x̄) = 466
Σy = 170
Σ(x - x̄)2 = 234
n = 10
Σ(y - ȳ)2 = 1434
SSE = 505.98
The least squares estimate of the intercept
or b0 equals
a) -1.991.
b) .923.
c) -.923.
d) 1.991.

Added by Sebastian L.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

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Solved by Expert Shaiju T

06/17/2022

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2719} \] \[ r = 0.8045 \] Show more…

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A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). Σx = 90 Σ(y - ȳ)(x - x̄) = 466 Σy = 170 Σ(x - x̄)2 = 234 n = 10 Σ(y - ȳ)2 = 1434 SSE = 505.98 The least squares estimate of the intercept or b0 equals a) -1.991. b) .923. c) -.923. d) 1.991.