Consider the linear regression model: Y₁ = ßo + B₁ïi + €į, ti ~ N(0,0²) and €¿ s independent. Calculate the cell with the question mark in the analysis of variance table shown below. Source Regresssion Error Total Degrees of freedom Sum of squares ? Please, round your final answer to 4 decimal places. Thanks! Mean squares F-statistic

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Recently, research efforts have focused on the problem of predicting a manufacturer's market share using
information on the quality of its product. Suppose that the following data are available on market share, in
percentage (Y), and product quality, on a scale of 0 to 100, determined by an objective evaluation procedure
(X).
X
A & wa w wN
27
39
73
66
33
43
47
55
60
68
70
75
82
Y
2
10
9
4
6
5
8
7
9
10
13
12
Transcribed Image Text:Recently, research efforts have focused on the problem of predicting a manufacturer's market share using information on the quality of its product. Suppose that the following data are available on market share, in percentage (Y), and product quality, on a scale of 0 to 100, determined by an objective evaluation procedure (X). X A & wa w wN 27 39 73 66 33 43 47 55 60 68 70 75 82 Y 2 10 9 4 6 5 8 7 9 10 13 12
Consider the linear regression model:
Y₁ = Bo + B₁x₁ + €i, €i ~ N(0,0²) and is independent.
Calculate the cell with the question mark in the analysis of variance table shown below.
Source
Regresssion
Error
Total
Degrees of freedom Sum of squares
?
Please, round your final answer to 4 decimal places. Thanks!
Mean squares
F-statistic
Transcribed Image Text:Consider the linear regression model: Y₁ = Bo + B₁x₁ + €i, €i ~ N(0,0²) and is independent. Calculate the cell with the question mark in the analysis of variance table shown below. Source Regresssion Error Total Degrees of freedom Sum of squares ? Please, round your final answer to 4 decimal places. Thanks! Mean squares F-statistic
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