A regression line describes the relationship between the dependent and independent variables and can be used to estimate specific points for x or y. For example, if y = 4.67x + 12.89, and y = 10.87, x would equal
[1] 0.43
[2] -0.43
[3] 12.89
[4] 63.65
Answer:
2). - 0.43
Explanation:
y = 4.67x + 12.89
10.87= 4.67x + 12.89
4.67x = 10.87 - 12.89
4.67x = -2.02
x = -2.02/4.67
x = -0.43
A regression line describes the relationship between the dependent and independent variables and can be used...
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The following information
regarding a dependent variable (Y in $1000) and an independent
variable (X) is provided.
Y
Dependent Variable
15
17
23
17
I. The least-squares estimate of the slope
equals:
II. The least-squares estimate of the intercept
equals:
III. If the independent variable increases by 2
units, the dependent variable is expected to
a. decrease by $300
b. decrease by $3000
c. decrease by $3
d. decrease by $2
e. none of the above
The letter corresponding...
The following information regarding a dependent variable (Y in
$1000) and an independent variable (X) is provided.
Y
Dependent Variable
15
17
23
17
I. The least-squares estimate of the slope
equals:
II. The least-squares estimate of the intercept
equals:
III. If the independent variable increases by 2
units, the dependent variable is expected to
a. decrease by $300
b. decrease by $3000
c. decrease by $3
d. decrease by $2
e. none of the above
The letter corresponding...