Answer:
Dude the answer is B
Step-by-step explanation:
Answer:
a)
b) r =-0.932
The % of variation is given by the determination coefficient given by
and on this case
, so then the % of variation explained by the linear model is 86.87%.
Step-by-step explanation:
Assuming the following dataset:
Monthly Sales (Y) Interest Rate (X)
22 9.2
20 7.6
10 10.4
45 5.3
Part a
And we want a linear model on this way y=mx+b, where m represent the slope and b the intercept. In order to find the slope we have this formula:
Where:
With these we can find the sums:
And the slope would be:
Nowe we can find the means for x and y like this:
And we can find the intercept using this:
So the line would be given by:
Part b
For this case we need to calculate the correlation coefficient given by:
So then the correlation coefficient would be r =-0.932
The % of variation is given by the determination coefficient given by
and on this case
, so then the % of variation explained by the linear model is 86.87%.
Answer:
D) 
Step-by-step explanation:
Basically, if you plug in the x and y-coordinates into an equation, both sides should work out to be equal to each other:
Since
, we can eliminate choice A
Since
, we can eliminate choice B
Since
, we can eliminate choice C
Therefore, since
, then D is correct. Also, 
The expression would be 32+3x where x represents the cost of each shirt. If the shirts were $9 each max would have spent $59
Answer:
i can tell u in prsn
Step-by-step explanation: