Question

Use the data below to run a regression in R Studio and answer the following question....

Use the data below to run a regression in R Studio and answer the following question.
You are given the following information about x and y.
x                          y
Independent    Dependent
Variable            Variable
15                       5
12                       7
10                       9
7                         11

The least squares estimate of b1 equals _____.

Group of answer choices

a. 16.412

b. –0.13

c. 21.4

d. –0.7647

Homework Answers

Answer #1

b1 = -0.7647

Dear student,
I am waiting for your feedback. I have given my 100% to solve your queries. If you satisfied with my answer then please please like this.
Thank You

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Q1. You are given the following information about y and x. y x Dependent Independent Variable...
Q1. You are given the following information about y and x. y x Dependent Independent Variable Variable 5 15 7 12 9 10 11 7 The least squares estimate of b1 equals. (round your answer to 1 decimal places) Q2. Refer to question 1 The least squares estimate of b0 equals. (Round your answer to 1 decimal) Q3 Refer to question 1 The coefficient of determination equals. (use decimal with 4 decimal places) Q4. Refer to question 1 Predict the...
A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and...
A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). Σx = 90 Σ(y - )(x - ) = 466 Σy = 170 Σ(x - )2 = 234 n = 10 Σ(y - )2 = 1434 SSE = 505.98 ​ The least squares estimate of the intercept or b0 equals Question 18 options: a) -1.991. b) .923. c) -.923. d) 1.991.
You are given the following information about y and x. Dependent Variable y Independent Variable x...
You are given the following information about y and x. Dependent Variable y Independent Variable x 12 4   3 6   7 2   6 4 ​ ​ Refer to Exhibit 12-6. The least squares estimate of b0 equals Question 14 options: 1 -1 -11 11
You are given the following information about y and x. Dependent Variable y Independent Variable x...
You are given the following information about y and x. Dependent Variable y Independent Variable x 5 1 4 2 3 3 2 6 1 8 ​ Refer to Exhibit 3. The least squares estimate of b1 (slope) equals
Run a regression analysis in Excel using the following data. The dependent variable is Y: X...
Run a regression analysis in Excel using the following data. The dependent variable is Y: X 2 4 6 8 10 Y 19 43 55 73 110 What is the value for the regression sum of squares? Round your answer to 1 decimal place.
Run a regression analysis in Excel using the following data. The dependent variable is Y: X...
Run a regression analysis in Excel using the following data. The dependent variable is Y: X Y 2 19 4 43 6 55 8 73 10 110 What is the value for the regression sum of squares? Round your answer to 1 decimal place.
Exhibit 14-5 You are given the following information about x and y. x Independent Variable y...
Exhibit 14-5 You are given the following information about x and y. x Independent Variable y Dependent Variable 1 5 2 4 3 3 4 2 5 1 Refer to Exhibit 14-5. The least squares estimate of b0 (intercept)equals ______. a. 5 b. 1 c. 6 d. –1 Refer to Exhibit 14-5. The least squares estimate of b1 (slope) equals _____. a. 1 b. 5 c. –1 d. 6
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...
Use the following regression model and statistical data for the dependent variable BUS TRAVEL. N =...
Use the following regression model and statistical data for the dependent variable BUS TRAVEL. N = 40 Observations Mean of Dependent Variable = 1933.175                R-square = .0907 Standard Deviation of Dependent Variable = 2431.757 Error Sum of Squares = 1.821       Standard Error of Residual = 742.911 F-statistic = 64.143 p-value = .0001 What is the level of confidence for the overall model? Group of answer choices 95% not significant at a 90%, 95%, or 99% confidence level 99% 90%
Given below are seven observations collected in a regression study on two variables, X (independent variable)...
Given below are seven observations collected in a regression study on two variables, X (independent variable) and Y (dependent variable). PLEASE TYPE OUT. I HAVE A VERY DIFFICULT TIME READING HAND WRITTEN RESPONSES. THANK YOU SO MUCH! X Y 2 12 3 9 6 8 7 7 8 6 7 5 9 2 a. Develop the least squares estimated regression equation. b. State the hypotheses to test for the significance of the regression line. c. Perform an F test to...