Question

In: Statistics and Probability

The accompanying data are x = advertising share and y = market share for a particular...

The accompanying data are x = advertising share and y = market share for a particular brand of cigarettes during 10 randomly selected years.

x 0.101 0.072 0.071 0.077 0.086 0.047 0.060 0.050 0.070 0.052
y 0.136 0.125 0.123 0.086 0.079 0.076 0.065 0.059 0.051

0.039

(a) Calculate the equation of the estimated regression line. (Round your answers to six decimal places.)

y=________

Obtain the predicted market share when the advertising share is 0.09. (Round your answer to five decimal places.)

__________

b)Calculate a point estimate of σ. (Round your answer to four decimal places.)

_________

Solutions

Expert Solution

The statistical software output for this problem is:

From above output:

a) y = -0.004329 + 1.286131 x

Predicted value = 0.11142

b) Point estimate = 0.0269


Related Solutions

The accompanying data are x = advertising share and y = market share for a particular...
The accompanying data are x = advertising share and y = market share for a particular brand of cigarettes during 10 randomly selected years. x 0.101 0.073 0.072 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.138 0.126 0.120 0.086 0.079 0.076 0.065 0.059 0.051 0.039 (a) Calculate the equation of the estimated regression line. (Round your answers to six decimal places.) Obtain the predicted market share when the advertising share is 0.09. (Round your answer to five decimal places.)...
The accompanying data are x = advertising share and y = market share for a particular...
The accompanying data are x = advertising share and y = market share for a particular brand of cigarettes during 10 randomly selected years. x 0.104 0.072 0.072 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.137 0.128 0.122 0.086 0.079 0.076 0.065 0.059 0.051 0.039 (a) Calculate the equation of the estimated regression line. (Round your answers to six decimal places.) y = Obtain the predicted market share when the advertising share is 0.09. (Round your answer to five...
The accompanying data are x = advertising share and y = market share for a particular...
The accompanying data are x = advertising share and y = market share for a particular brand of cigarettes during 10 randomly selected years. x 0.103 0.072 0.072 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.135 0.124 0.122 0.086 0.079 0.076 0.065 0.059 0.051 0.039 (a) Calculate the equation of the estimated regression line. (Round your answers to six decimal places.) y = (B) Obtain the predicted market share when the advertising share is 0.09. (Round your answer to...
#6 The accompanying data are x = advertising share and y = market share for a...
#6 The accompanying data are x = advertising share and y = market share for a particular brand of cigarettes during 10 randomly selected years. x 0.102 0.072 0.071 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.138 0.125 0.120 0.086 0.079 0.076 0.065 0.059 0.051 0.039 (a) Calculate the equation of the estimated regression line. (Round your answers to six decimal places.) y = Obtain the predicted market share when the advertising share is 0.09. (Round your answer to...
#6 The accompanying data are x = advertising share and y = market share for a...
#6 The accompanying data are x = advertising share and y = market share for a particular brand of cigarettes during 10 randomly selected years. x 0.102 0.072 0.071 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.138 0.125 0.120 0.086 0.079 0.076 0.065 0.059 0.051 0.039 (a) Calculate the equation of the estimated regression line. (Round your answers to six decimal places.) y = Obtain the predicted market share when the advertising share is 0.09. (Round your answer to...
The accompanying data show the number of hours, x, studied for and the grade received, y...
The accompanying data show the number of hours, x, studied for and the grade received, y (y is measured in tens; that is, y = 8 means that the grade, rounded to the nearest 10 points, is 80). x 2 3 3 4 5 5 5 6 6 6 6 7 7 7 8 y 5 5 7 5 6 7 8 6 9 8 7 9 10 8 9 (a) Use the given scatter diagram to estimate r for...
Regression analysis was applied between sales data (y in $1000s) and advertising data (x in $100s)...
Regression analysis was applied between sales data (y in $1000s) and advertising data (x in $100s) and the following information was obtained. ​ = 30 + 2x ​ n = 17 SSR = 450 SSE = 150 The critical t value for testing the significance of the slope, at a .05 level of significance, is: 1.746. 2.131. 1.753. 2.120.
The accompanying data represent the number of days absent, x, and the final exam score, y,...
The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below. Click the icon to view the absence count and final exam score data. Absences and Final Exam Scores No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final exam score, y 88.3 87.3 84.2 80.9 77.6 73.8...
find a particular solution y”+y’+y=x+1 and y"+y'=x+1
find a particular solution y”+y’+y=x+1 and y"+y'=x+1
A Regression analysis was applied between sales data (y in $1000s) and advertising expenditure (x in...
A Regression analysis was applied between sales data (y in $1000s) and advertising expenditure (x in $100s) and the estimated regression equation is obtained as ŷ = 12 + 1.8 x. Suppose SST=300, SSE=75, sb1 =0.2683 and ?=17 a) Carry out a t-test to see whether the advertising expenditure is significant. Use α = 0.05 and critical value approach to draw your conclusion. Make sure to show all your steps. b) Carry out an F-test to see whether the advertising...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT