OC Music Company has been in business for 4 years. Data about the sales of each quarter were collected below. The manager wants use these data to forecast sales of the 5th year. Please copy and paste it to Excel and run regression analysis. Answer the following 4 questions. Year Quarter Sales
1 Q1 7
Q2 2
Q3 4
Q4 10
2 Q1 6
Q2 3
Q3 8
Q4 14
3 Q1 10
Q2 3
Q3 5
Q4 16
4 Q1 12
Q2 4
Q3 7
Q4 22
1) Develop a model for trend and seasonality. Please clearly define your variables. How many independent variables do you have in your regression?
2) What is the intercept in your estimated regression model? Rounded to two decimal places.
3) Use the model to forecast for sales of last quarter in the 5th year. Rounded to two decimal places.
4) Calculate the MAE for this time series forecast.

lockers 1, 4, 9, 16, 25, 40, and 49 are open

i ran through it by the other answer is wrong

what are you doing do you need examples of variable questions?

step-by-step explanation:

5a-1=9               bring the one over the =

5a=10                     divide by your variable

a=2

brainliest? ?

here try this one

3a-24=0

system of linear equation

step-by-step explanation:

as given in the data

a= 20 , b= -12

let us suppose that it is a straight line equation

now we know the formula for the system of linear equation

b= ma + c )

here m is slope of a straight line which is equal to formula

m=   (ii)

and here c is a constant

now putting the value of a and b in equation (ii)

m=

m=

putting the value of a,b and m in equation (i) gives us

-12 = + c

-12=-12 + c

adding 12 to both sides

-12 +12 = -12 +12 +c

0 =c

or c=0

as the value of the constant is zero which gives us that it is a linear equation and this order pair satisfies the system of linear equations.

4932,9180,7625 are divisible by 9