Variable Y represents the profit (in thousand of dollars ) of an indoor heating repairs firm in a small town , over four consecutive months. The variable X1 represents the average outside temperature for the month, and the variable X2 represents the average number of daily customer complements(positive) or complaints(negative). For a month in which X2 is positive there were more complements than complaints but for a month in which X2 is negative there were more complaints than compliments. Using the information about variables Month X1 X2 Y NOVEMBER -5 5 11 DECEMBER -4 4 11 JANUARY -1 8. FEBRUARY 2 -3 2 i. Determine by a matrix method the equation of the line of regression for Y on X1 and X2. Use your results in į. to predict the expected profit of the firm in a month where the average outside temperature was -2 degrees and the average number of daily customers compliment was 3. ii.

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Hello, so am new to regression so could you please answer the (i) (ii) question below with correct values and correct answer, and try to explain if possible..cheers 

Variable Y represents the profit (in thousand of dollars ) of an indoor heating repairs firm in a
small town , over four consecutive months. The variable X1 represents the average outside
temperature for the month, and the variable X2 represents the average number of daily
customer complements(positive) or complaints(negative). For a month in which X2 is positive
there were more complements than complaints but for a month in which X2 is negative there
were more complaints than compliments. Using the information about variables
Month
X1
X2
Y
NOVEMBER
-5
11
DECEMBER
-4
4
11
JANUARY
-1
1
8.
FEBRUARY
-3
i.
Determine by a matrix method the equation of the line of regression for Y on X1 and
X2.
ii.
Use your results in į. to predict the expected profit of the firm in a month where the
average outside temperature was -2 degrees and the average number of daily
customers compliment was 3.
Transcribed Image Text:Variable Y represents the profit (in thousand of dollars ) of an indoor heating repairs firm in a small town , over four consecutive months. The variable X1 represents the average outside temperature for the month, and the variable X2 represents the average number of daily customer complements(positive) or complaints(negative). For a month in which X2 is positive there were more complements than complaints but for a month in which X2 is negative there were more complaints than compliments. Using the information about variables Month X1 X2 Y NOVEMBER -5 11 DECEMBER -4 4 11 JANUARY -1 1 8. FEBRUARY -3 i. Determine by a matrix method the equation of the line of regression for Y on X1 and X2. ii. Use your results in į. to predict the expected profit of the firm in a month where the average outside temperature was -2 degrees and the average number of daily customers compliment was 3.
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