Based on the below data what is the regression equation? a) 4 + 33X b) 33 * -1X c) -1 + 4X d) -1X + 4

Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations	8

ANOVA
	df	SS	MS	F
Regression	1	33	33	33
Residual	6	11	1
Total	7

	Coefficients	Standard Error	t Stat	P-value
Intercept	-1	31.274666	3.984284	0.007248
Advertising (thousands of $)	4	6.19330674	1.610802	0.158349

Expert Solution

REGRESSION EQUATION = y = a + bX

y = Dependent variable, X = independent variable, b = slope , a = intercept

a = -1 , b = 4 [advertising]

so y = -1 + 4X

Answer : c : -1 + 4X [Thumbs up please]

jeff jeffy answered 3 years ago

Using R and the data in the table below, perform the regression of D on C...

Using R and the data in the table below, perform the regression of D on C (i.e., report the regression equation). C D 3 2 6 7 8 5 9 4 1 0 3 4 Hint: The code to enter the vectors C and D into R is: C <- c(3, 6, 8, 9, 1, 3) D <- c(2, 7, 5, 4, 0, 4) You must figure out how to obtain the regression equation from R. Enter the code below...

Consider the data set below. Excel File: data12-33.xls The estimated regression equation is ŷ = 30.33...

Consider the data set below. Excel File: data12-33.xls The estimated regression equation is ŷ = 30.33 - 1.88x. Estimate the standard deviation of ŷ p when x = 3 (to 3 decimals). Develop a 95% confidence interval for the expected value of y when x = 3 (to 2 decimals). ( , ) Estimate the standard deviation of an individual value of y when x = 3 (to 2 decimals). Develop a 95% prediction interval for y wh

For the data and sample regression equation shown below, complete parts (a) through (c). x 0...

For the data and sample regression equation shown below, complete parts (a) through (c). x 0 3 5 5 5 ModifyingAbove y with caret equals 4.500 minus 0.917 xy=4.500−0.917x y 4 3 0 −2 1 a. Determine the standard error of the estimate. b. Construct a residual plot. c. Construct a normal probability plot of the residuals. LOADING... Click the icon to view the table of normal scores.

1. Evaluate: (a+b)/(c-d) + 9/(a+d) when a=5, b=3, c=8, d=4 a. 6 b. 3 c. 15/2...

1. Evaluate: (a+b)/(c-d) + 9/(a+d) when a=5, b=3, c=8, d=4 a. 6 b. 3 c. 15/2 d. 17/13 2. Solve for x: 5(x+3) = 35 a. 2 b. 7 c. 4 d. -4 3. Acid rain occurs primarily as a result of a. operating a nuclear power plant b. burning coal or oil containing sulfur c. by-products created by operating an oil refinery d. the use of Freon and other refrigerants 4. The "ozone holes" at the polar region arise...

Randomly pair 4 keys {a, b, c, d} with 3 locks {a, b, c}. What is...

Randomly pair 4 keys {a, b, c, d} with 3 locks {a, b, c}. What is P(at least one match)?

Consider the cross: A/a; b/b; C/c; D/d; E/e x A/a; B/b; c/c; D/d; e/e a) what...

Consider the cross: A/a; b/b; C/c; D/d; E/e x A/a; B/b; c/c; D/d; e/e a) what proportion of the progeny will phenotypically resemble the first parent? b) what proportion of the progeny will genotypically resemble neither parent?

What is the Regression Equation (i.e., what are the values of a and b)?

What is the Regression Equation (i.e., what are the values of a and b)? What is the forecast value for November? What is the Standard Error of the Estimate?

Find the value of a : b : c : d, if a : b = 2 : 3, b : c = 4 : 5 and c : d = 6 : 7.

Homework 16: Complete the MRP chart below. A(1) B(2) C(4) D(1) LEGEND: A to F are...

Homework 16: Complete the MRP chart below. A(1) B(2) C(4) D(1) LEGEND: A to F are part numbers E(2) E(2) F(2) F(1) (n) is number of children needed for each parent Part A: Lead-time = 1 week OQ = LFL Safety Stock = 0 1 2 3 4 5 6 7 8 1. Gross Requirements 30 15 50 60 50 10 2. Scheduled Receipts 3. Projected On Hand 60 4. Net Requirements 5. Planned Order Receipt 6. Planned Order...

1. Use the data below to find the linear regression equation that best represents the given...

1. Use the data below to find the linear regression equation that best represents the given data and predict the revenue in 2013 (Copy data to Excel) 2. Then create Two new columns that represent the predication y =mx+b for each year and percent of growth for each year = (Revenue/Predication)*100 3. Use Excel to graph the linear model (x-axis years, y-axis revenue) and the linear equation of best fit. Year Revenue Predication Percent of growth (%) 2001 3665 2002...

Question