Q3: price receivea ior the clocks depends on both the age of the clocks and the number of bidders at the auction Thus, he hypothesizes the first-order model is y = Bo+B11+B2x2 + E, where A collector of antique grandfather clocks sold at auction believes that the y = Auction price (dollars) a1 = Age of clock (years) x2 = Number of bidders A sample of 16 auction prices of grandfather clocks, along with their age and the number of bidders, is given in Table below. Number of Bidders, x2 Auction Price, y Age, x1 127 $1,235 115 12 1,080 127 845 150 1.522 156 1,047 182 11 1,979 156 12 1,822 132 10 1.253 137 1,297 113 946 137 1,713 117 11 1,024 137 1.147 153 1,092 117 13 1,152 126 10 1.336 1. Find the lea.. squares regression for the data.

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Q3:
price receivea ior the clocks depends on both the age of the clocks and the number of bidders
at the auction Thus, he hypothesizes the first-order model is y = Bo + B1x1 + B202 + €, where
A collector of antique grandfather clocks sold at auction believes that the
y = Auction price (dollars)
x1 = Age of clock (years)
x2 = Number of bidders
A sample of 16 auction prices of grandfather clocks, along with their age and the number of
bidders, is given in Table below.
Number of
Bidders, x2
Auction
Age, x1
127
Price, y
13
$1.235
115
12
1,080
127
845
150
1.522
156
1,047
182
11
1.979
156
12
1,822
132
10
1,253
137
1,297
113
946
137
15
1,713
117
11
1,024
137
8
1.147
153
1,092
117
13
1.152
126
10
1.336
1. Find the lea.. squares regression for the data.
2. Form a 95 % confidence interval for B1.
Transcribed Image Text:Q3: price receivea ior the clocks depends on both the age of the clocks and the number of bidders at the auction Thus, he hypothesizes the first-order model is y = Bo + B1x1 + B202 + €, where A collector of antique grandfather clocks sold at auction believes that the y = Auction price (dollars) x1 = Age of clock (years) x2 = Number of bidders A sample of 16 auction prices of grandfather clocks, along with their age and the number of bidders, is given in Table below. Number of Bidders, x2 Auction Age, x1 127 Price, y 13 $1.235 115 12 1,080 127 845 150 1.522 156 1,047 182 11 1.979 156 12 1,822 132 10 1,253 137 1,297 113 946 137 15 1,713 117 11 1,024 137 8 1.147 153 1,092 117 13 1.152 126 10 1.336 1. Find the lea.. squares regression for the data. 2. Form a 95 % confidence interval for B1.
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