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Instruction 13 ANOVA Note: Adj R Square = Adjusted R Square; Std

question 208

Multiple Choice

Instruction 13.3
An economist is interested to see how consumption for an economy (in $ billions) is influenced by gross domestic product ($ billions) and aggregate price (consumer price index) . The Microsoft Excel output of this regression is partially reproduced below.
OUTPUT
SUMMARY
Regression Statistics
 MultipleR 0.991 R Square 0.982 Adj. R Square 0.976 Std. Error 0.299 Observations 10\begin{array} { l l } \text { MultipleR } & 0.991 \\ \text { R Square } & 0.982 \\ \text { Adj. R Square } & 0.976 \\ \text { Std. Error } & 0.299 \\ \text { Observations } & 10 \end{array}
ANOVA
df SS  MS F Signif F  Regression 233.416316.7082186.3250.0001 Residual 70.62770.0897 Total 934.0440 Coeff  StdError t Stat p value  Intercept 1.63350.56740.1520.8837 GDP 0.76540.057413.3400.0001 Price 0.00060.00280.2190.8330\begin{array} { l l l l l l } & d f & \text { SS } & \text { MS } & F & \text { Signif F } \\ \text { Regression } & 2 & 33.4163 & 16.7082 & 186.325 & 0.0001 \\ \text { Residual } & 7 & 0.6277 & 0.0897 & & \\ \text { Total } & 9 & 34.0440 & & & \\ & & & & & \\ & \text { Coeff } & \text { StdError } & t \text { Stat } & p \text { value } & \\ \text { Intercept } & - 1.6335 & 0.5674 & - 0.152 & 0.8837 & \\ \text { GDP } & 0.7654 & 0.0574 & 13.340 & 0.0001 & \\ \text { Price } & - 0.0006 & 0.0028 & - 0.219 & 0.8330 & \end{array} Note: Adj. R Square = Adjusted R Square; Std. Error = Standard Error
-Referring to Instruction 13.3,the p-value for the regression model as a whole is


Definitions:

Quantity Supplied

The amount of a good or service that producers are willing and able to sell at a given price within a specific time period.

Price Ceiling

A legal maximum on the price at which a particular good can be sold.

Cocoa Bean

The dried and fully fermented seed from which cocoa solids and cocoa butter are extracted, essential in chocolate making.

Government Study

Research or investigation conducted by or on behalf of government agencies to inform policy decisions, evaluate programs, or gather statistical data.

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