Abby Kratz, a market specialist at the market research firm of Saez, Sikes, and Spitz, is analyzing household budget data collected by her firm.Abby's dependent variable is monthly household expenditures on groceries (in $'s), and her independent variable is annual household income (in $1,000's).Regression analysis of the data yielded the following tables. Abby Kratz, a market specialist at the market research firm of Saez, Sikes, and Spitz, is analyzing household budget data collected by her firm.Abby's dependent variable is monthly household expenditures on groceries (in <br> <span class=

\begin{array}{|c|c|c|c|c|}\hline \text { Soures } & \text { df } & \text { SS } & \text { MS } & F \\\hline \text { Regressium } & 1 & 76850.99 & 16850.99 & 19.3444 \\\hline \text { Retidual } & 9 & 7839.915 & 871.10017 & \\\hline \text { Total } & 10 & 24690.91 & & \\\hline\end{array}

\begin{array} { | l | } \hline S _ { \mathrm { e} } = 29.51448 \\\hline r ^ { 2 } = 0.682478 \\\hline\end{array}

Using

\alpha

= 0.05, Abby should ________________.
A)reject H₀:

\beta

₁ = 0
B)not reject H₀:

\beta

₁ = 0
C)increase the sample size
D)suspend judgment
E)reject H₀:

\beta

₀ = 0s), and her independent variable is annual household income (in $1,000's).Regression analysis of the data yielded the following tables. \begin{array}{|c|c|c|c|c|} \hline \text { Soures } & \text { df } & \text { SS } & \text { MS } & F \\ \hline \text { Regressium } & 1 & 76850.99 & 16850.99 & 19.3444 \\ \hline \text { Retidual } & 9 & 7839.915 & 871.10017 & \\ \hline \text { Total } & 10 & 24690.91 & & \\ \hline \end{array}\begin{array} { | l | } \hline S _ { \mathrm { e} } = 29.51448 \\ \hline r ^ { 2 } = 0.682478 \\ \hline \end{array} Using \alpha = 0.05, Abby should ________________. A)reject H₀: \beta ₁ = 0 B)not reject H₀: \beta ₁ = 0 C)increase the sample size D)suspend judgment E)reject H₀: \beta ₀ = 0 " class="answers-bank-image d-block" rel="preload" >

\begin{array}{|c|c|c|c|c|}\hline \text { Soures } & \text { df } & \text { SS } & \text { MS } & F \\\hline \text { Regressium } & 1 & 76850.99 & 16850.99 & 19.3444 \\\hline \text { Retidual } & 9 & 7839.915 & 871.10017 & \\\hline \text { Total } & 10 & 24690.91 & & \\\hline\end{array}

\begin{array} { | l | } \hline S _ { \mathrm { e} } = 29.51448 \\\hline r ^ { 2 } = 0.682478 \\\hline\end{array}

Using

\alpha

= 0.05, Abby should ________________.
A)reject H₀:

\beta

₁ = 0
B)not reject H₀:

\beta

₁ = 0
C)increase the sample size
D)suspend judgment
E)reject H₀:

\beta

₀ = 0

A Researcher Has Developed the Regression Equation ŷ = 2

Multiple Choice

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