Solved

TABLE 15-3
a Certain Type of Rare Gem Serves as a Status

Question 26

Multiple Choice

TABLE 15-3
A certain type of rare gem serves as a status symbol for many of its owners. In theory, for low prices, the demand increases and it decreases as the price of the gem increases. However, experts hypothesize that when the gem is valued at very high prices, the demand increases with price due to the status owners believe they gain in obtaining the gem. Thus, the model proposed to best explain the demand for the gem by its price is the quadratic model:
Y=β0+β1X+β2X2+ε Y=\beta_{0}+\beta_{1} X+\beta_{2} X^{2}+\varepsilon
where Y = demand (in thousands) and X = retail price per carat.
This model was fit to data collected for a sample of 12 rare gems of this type. A portion of the computer analysis obtained from Microsoft Excel is shown below:
SUMMARY OUTPUT
Regression Statistics Multiple R 0.994 R Square 0.988 Standard Error 12.42 Observations 12\begin{array}{lc} \text {Regression Statistics}\\\hline \text { Multiple R } & 0.994 \\\text { R Square } & 0.988 \\\text { Standard Error } & 12.42 \\\text { Observations } & 12 \\\hline\end{array}


 ANOVA dfSS MS F Sgnificance  Regression 2115145575733730.0001 Residual 91388154 Total 11116533\begin{array}{l}\text { ANOVA }\\\begin{array}{lrrrrr}\hline & d f & S S & \text { MS } & F & \text { Sgnificance } \\\hline \text { Regression } & 2 & 115145 & 57573 & 373 & 0.0001 \\\text { Residual } & 9 & 1388 & 154 & & \\\text { Total } & 11 & 116533 & & & \\\hline\end{array}\end{array}


 Coeff  Std Error t Stad p-value  Intercept 286.429.6629.640.0001 Price 0.310.065.140.0006 Price Sq 0.0000670.000070.950.3647\begin{array}{lrccc} & \text { Coeff } & \text { Std Error } & t \text { Stad } & p \text {-value } \\\hline \text { Intercept } & 286.42 & 9.66 & 29.64 & 0.0001 \\\text { Price } & -0.31 & 0.06 & -5.14 & 0.0006 \\\text { Price Sq } & 0.000067 & 0.00007 & 0.95 & 0.3647 \\\hline\end{array}

-Referring to Table 15-3, what is the correct interpretation of the coefficient of multiple determination?


A) 98.8% of the total variation in demand can be explained by the addition of the square term in price.
B) 98.8% of the total variation in demand can be explained by just the square term in price.
C) 98.8% of the total variation in demand can be explained by the quadratic relationship between demand and price.
D) 98.8% of the total variation in demand can be explained by the linear relationship between demand and price.

Correct Answer:

verifed

Verified

Unlock this answer now
Get Access to more Verified Answers free of charge

Related Questions

Unlock this Answer For Free Now!

View this answer and more for free by performing one of the following actions

qr-code

Scan the QR code to install the App and get 2 free unlocks

upload documents

Unlock quizzes for free by uploading documents