dependent variables: antique clock auction price. variables C, age, # Bid,Qqs ,
ID: 1106332 • Letter: D
Question
dependent variables: antique clock auction price. variables C, age, # Bid,Qqs , R- squared, SE, RSS. coefficient -1336 #bid 85.76, Qqs 32,R-squared 0.89, SE 134.5, RSS 525462.2. Std Error C0.91 , #bid 8.8, SE standard error, RSS residual sum of squared. t- stat. C -7.62, Age 13.96. Prob C 0,age 0, # bid 0, what is the value of coefficient for the age of antique clocks? what is the t- stat for the number of bids? explain why the number of bids is important or unimportant for pricing antique clocks? what is the meaning of the R- squared.
Explanation / Answer
a) t-stat = coefficient/Std Error
The value of coefficient for the age of antique clocks:
coefficient of age = t-stat for age * std error of age
coefficient of age = 13.96*.91 = 12.7036
b) t-stat for the number of bids = coefficient of bids/std error of bid
t-stat for the number of bids = 85.76/8.8 = 9.7454
c) Number of bids is important because p-value for bid is zero which means variable bid is signifacant and for every change in bids price of of antique clocks increases by 85.76.
d) R-squared how much the dependent variable is explained by help of given independent variables.
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