The measure of variation for a numerical data set describes how
the values of a number vary with the single number. This measurement shows the
difference in the properties of a certain number to the rest of the numbers in the
numerical data set.
$30.81
That’s it because you have to multiply them together
Answer:
y = 41.603X + 3.582
Step-by-step explanation:
Given the data:
Week ___Price ____ Sales
1 _______.33 _______20
2 ______ .25 _______ 14
3 ______ .44 _______ 22
4 ______ .40 _______ 21
5 ______ .35 _______ 16
6 ______ .39 _______ 19
7 ______ .29 _______ 15
Using the linear regression calculator ; The regression equation obtained is :
y = 41.603X + 3.582
Where ;
y = sales (predicted variable)
x = price (predictor variable)
Slope = 41.603
Intercept = 3.582
Answer:
A quadratic equation ....[1] where, a, b and c are coefficient.
Then the solution is given by:
....[2]
As per the statement:
Given the equation:
⇒
On comparing with [1] we have;
a =1, b = 1 and c = -5
Then substitute these in [2] we have;
Therefore, the values of x are:
,