Use the following multiple regression table to answer the following questions: Daily Demand High Temperature Price Day 144 73 $Â Â Â Â 1.00 1 90 64 $Â Â Â Â 1.00 0 0 =...

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Use the following multiple regression table to answer thefollowing questions:
Daily Demand High Temperature Price Day
144 73 $Â Â Â Â 1.00 1
90 64 $Â Â Â Â 1.00 0 0 = Weekend
108 73 $Â Â Â Â 1.00 1 1 = Weekday
120 82 $Â Â Â Â 1.00 1
54 45 $Â Â Â Â 1.20 0
69 54 $Â Â Â Â 1.20 1
126 86 $Â Â Â Â 1.20 1
99 70 $Â Â Â Â 1.20 0
48 73 $Â Â Â Â 1.50 0
33 66 $Â Â Â Â 1.50 0
90 75 $Â Â Â Â 1.50 1
81 61 $Â Â Â Â 1.50 1
1. What is the Y-intercept for the output of the data?
2. What is the R^2 of the data?
3. What is the adjusted R^2?
4. What is the high temperature coefficient of the output?
5. What is the price coefficient?
6. What is the Day Coefficient of the output, if the day is aweekday?
7. Using the data output, Calculate demand for burritos on a daythat is 75 degrees, the price is $1.10...and it is a weekend.
8. Using the data output, Calculate demand for burritos on a daythat is 75 degrees, the price is $1.10...and it is a weekday.
9. Using the data output, Calculate demand for burritos on a daythat is 85 degrees, the price is $1.05...and it is a weekend.
10. Using the data output, Calculate demand for burritos on aday that is 85 degrees, the price is $1.05...and it is aweekday.

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1 What is the Yintercept for the output of the dataAns The Yintercept for the output of the data is 98722 What is the R2 of the dataAns The R2 of the data 083 8303 What is the adjusted R2Ans The adjusted R2 0766 7664 What is the hightemperature coefficient of the outputAnsThe hightemperature coefficient of the See Answer

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Daily Demand	High Temperature	Price	Day
144	73	$Â Â Â Â 1.00	1
90	64	$Â Â Â Â 1.00	0	0 = Weekend
108	73	$Â Â Â Â 1.00	1	1 = Weekday
120	82	$Â Â Â Â 1.00	1
54	45	$Â Â Â Â 1.20	0
69	54	$Â Â Â Â 1.20	1
126	86	$Â Â Â Â 1.20	1
99	70	$Â Â Â Â 1.20	0
48	73	$Â Â Â Â 1.50	0
33	66	$Â Â Â Â 1.50	0
90	75	$Â Â Â Â 1.50	1
81	61	$Â Â Â Â 1.50	1