Question
A regression analysis between sales (y in $1000) and advertising (x in dollars) resulted in the...
A regression analysis between sales (y in $1000) and
advertising (x in dollars) resulted in the following
equation
= 50,000 + 6x
Homework Answers
Answer #1
Answer:
Equation of the regression line is given by:
Now advertising decreases by 500 i.e. (x-500)
Hence the change in sales is a decrease in sales by $3000.
Let me know in the comments if anything is not clear. I will reply ASAP! Please do upvote if satisfied!
Not the answer you're looking for?
Similar Questions
13.A regression analysis between sales (Y in $1000) and advertising (X in dollars) resulted in the...
13.A regression analysis between sales (Y in $1000) and
advertising (X in dollars) resulted in the following equation
Y = 25,000 + 3 X
A-The above equation implies that ana.increase of $4 in
advertising is associated with an increase of $4,000 in sales
b.increase of $1 in advertising is associated with an increase
of $4 in sales
c.increase of $1 in advertising is associated with an increase
of $34,000 in sales
d.increase of $1 in advertising is associated with an...
Regression analysis was applied between sales (y in $1000) and advertising (x in $100) and the...
Regression analysis was applied between sales (y in $1000) and
advertising (x in $100) and the following estimated regression
equation was obtained. Ŷ = 80 + 6.2x Based on the above estimated
regression line, if advertising is $10,000, then the point estimate
for sales (in dollars) is a. $700,000. b. $700. c. $62,080. d.
$142,000.
A regression analysis between quantity demanded (y in kg ) and price (x in dollars) of...
A regression analysis between quantity demanded (y in kg ) and
price (x in dollars) of apples resulted in the equation ŷ = 28 -
3x. The estimated regression equation implies that:
1) A regression analysis between demand (y in 1,000 units) and price (x in dollars) resulted...
1) A regression analysis between demand (y in 1,000
units) and price (x in dollars) resulted in the following
equation.
ŷ = 8 − 5x
The above equation implies that if the price is increased by $1,
the demand is expected to
a) increase by 3 units. b) decrease by 5 units. c)
decrease by 5,000 units. d)decrease by 3,000 units.
2) The following information regarding a dependent variable
(y) and an independent variable (x) is
provided.
y
x...
A regression model between sales (y in $1000), unit price (x1 in dollars), and television advertisement...
A regression model between sales (y in $1000), unit price (x1 in
dollars), and television advertisement (x2 in dollars) resulted in
the following function:
ŷ = 7 - 3x1 + 5x2
For this model, SSR = 3500, SSE = 1500, and the sample size is
18. The adjusted R-squared or adjusted coefficient of determination
for this problem is
0.7
0.66
0.825
-0.66
A regression model between sales (y in $1000), unit price (x1 in dollars), and television advertisement...
A regression model between sales (y in $1000), unit price (x1 in
dollars), and television advertisement (x2 in dollars) resulted in
the following function:
ŷ = 7 - 3x1 + 5x2
For this model, SSR = 3500, SSE = 1500, and the sample size is
18. The adjusted R-squared or adjusted coefficient of determination
for this problem is
0.7
0.66
0.825
-0.66
a regression analysis between weight (y in pounds) and height (x in inches) resulted in the...
a regression analysis between weight (y in pounds) and height (x
in inches) resulted in the following least squares line: Y=140+5x.
this implies if the height is increased by 1 inch, the weight is
expected to increase on average by 5 pounds
true or false
Suppose a simple linear regression analysis generates the following equation: y = 10 + 15*X X...
Suppose a simple linear regression analysis generates the
following equation: y = 10 + 15*X
X = amount in dollars spent on advertising
Y = amount dollar of sales
Which of the following is the correct interpretation of these
results? If none of these then select “none”.
a) none of these
b)$1 increase in advertising would generate an estimated
increase of $15 in sales
c)$1 increase in advertising would generate an estimated
increase of 10 + 15 (= $25) in...
A regression analysis relating a company’s sales, their advertising expenditure, price, and time resulted in the...
A regression analysis relating a company’s sales, their
advertising expenditure, price, and time resulted in the
following.
Regression Statistics
Multiple R
0.8800
R Square
0.7744
Adjusted R Square
0.7560
Standard Error
232.29
Observations
25
ANOVA
df
SS
MS
F
Significance F
Regression
3
53184931.86
17728310.62
328.56
0.0000
Residual
21
1133108.30
53957.54
Total
24
54318040.16
Coefficients
Standard Error
t Stat
P-value
Intercept
927.23
1229.86
0.75
0.4593
Advertising (X1)
1.02
3.09
0.33
0.7450
Price (X2)
15.61
5.62
2.78
0.0112
Time (X3)
170.53...
1) Given the following information, what is the least squares estimate of the y-intercept? x y...
1)
Given the following information, what is the least squares
estimate of the y-intercept?
x
y
2
50
5
70
4
75
3
80
6
94
a)3.8 b)5 c) 7.8 d) 42.6
2) A least squares regression line
a) can only be determined if a good linear relationship exists
between x and y.
b) ensures that the predictions of y outside the range
of the values of x are valid.
c) implies a cause-and-effect relationship between x
and y.
d)...
ADVERTISEMENT
Need Online Homework Help?
Get Answers For Free
Most questions answered within 1 hours.
ADVERTISEMENT
Active Questions
asked 34 minutes ago
asked 35 minutes ago
asked 39 minutes ago
asked 39 minutes ago
asked 40 minutes ago
asked 59 minutes ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago
asked 2 hours ago