Below you are given a partial computer output based on a sample of 12 observations relating the number of personal computers sold by a computer shop per month (y), unit price (x₁ in $1000), and the number of advertising spots (x₂) they used on a local television station. $\begin{array}{l}\text { ANOVA }\\\begin{array} { l l l l l l } & d f & \text { SS } & M S & F & \text { Significance } F \\\text { Regression } & 2 & 655.955 & & & \\\text { Residual } & 9 & & &\end{array}\end{array}$
a.
At α = .05, test to determine if the model is significant. That is, determine if there exists a significant relationship between the independent variables and the dependent variable.
b.
Determine the multiple coefficient of determination.
c.
Determine the adjusted multiple coefficient of determination.

Question

Below you are given a partial computer output based on a sample of 12 observations relating the number of personal computers sold by a computer shop per month (y), unit price (x₁ in $1000), and the number of advertising spots (x₂) they used on a local television station.

\begin{array}{l}\text { ANOVA }\\\begin{array} { l l l l l l } & d f & \text { SS } & M S & F & \text { Significance } F \\\text { Regression } & 2 & 655.955 & & & \\\text { Residual } & 9 & & &\end{array}\end{array}

a.
At α = .05, test to determine if the model is significant. That is, determine if there exists a significant relationship between the independent variables and the dependent variable.
b.
Determine the multiple coefficient of determination.
c.
Determine the adjusted multiple coefficient of determination.

Quizplus · Accepted Answer

The Answer of Below you are given a partial computer output based on a sample of 12 observations relating the number of personal computers sold by a computer shop per month (y), unit price (x₁ in $1000), and the number of advertising spots (x₂) they used on a local television station. $$\begin{array}{l} \text { ANOVA }\ \begin{array} { l l l l l l } & d f & \text { SS } & M S & F & \text { Significance } F \ \text { Regression } & 2 & 655.955 & & & \ \text { Residual } & 9 & & & \end{array} \end{array}$$ a. At α = .05, test to determine if the model is significant. That is, determine if there exists a significant relationship between the independent variables and the dependent variable. b. Determine the multiple coefficient of determination. c. Determine the adjusted multiple coefficient of determination.

Below You Are Given a Partial Computer Output Based on a Sample