X Part I. Derive Bivariate Regression by hand. Again, we are using the same data set that we used in the in-cl...

Question

Question

X Part I. Derive Bivariate Regression by hand. Again, we are using the same data set that we used in the in-class assessment.

4. Step 4: Find the sum of (x1 - x)2 = 5. Step 5: the formula for the slope (Denoted as Beta Hat) of a bivariate regression i

7. Now you do have regression equation. YL = a + BX By plugging in x in the above equation you can fill in the third column b

Part II. Bivariate Regression: theory and application. The following 4 questions all refer to the population regression model

The following four questions all refer to the results displayed in Figure 1. reg BlairFeelinge Tra c cesscale of NS Sources M

14. Which of the following statements are accurate? (a) It is highly unlikely that we would see the relationship that we are

math Statistics-And-Probability

Add a comment Improve this question Transcribed image text

Answer 1

Answer #1

SOLUTION

Sum of X = 465
Sum of Y = 185.7

(1) Mean X = 25.8333

(2) Mean Y = 10.3167

(3) (X - $\overline{x}$ )(Y - $\overline{y}$ ) Sum of products (SP) = 117.45

(4) (X - $\overline{x}$ )² Sum of squares (SS_X) = 1010.5

Regression Equation = ŷ = bX + a

(5) $\beta$ = SP/SS_X = 117.45/1010.5 = 0.11623

a = M_Y - bM_X = 10.32 - (0.12*25.83) = 7.31407

ŷ = 0.11623X + 7.31407

ANSWERED

I HAVE SOLVED FIRST 5 PART OF THIS QUESTION

THIS IS A 100% VALID ANSWER SO PLEASE RATE ME POSITIVE

THANKS

Add a comment

Answer 2

Similar Homework Help Questions

6. Step 6: the formula for the intercept (i.e. constant: denoted as Alpha Hat) of a...

6. Step 6: the formula for the intercept (i.e. constant: denoted as Alpha Hat) of a bivariate regression is Find the Alpha hat= !! As the formula indicates, simply you need put the y and subtract the product of and the answer you responded in question 5 above. 3 7. Now you do have regression equation. By plugging in x in the above equation you can fill in the third column below. Once you fill in the third column, by...
Question 4 > You run a regression analysis on a bivariate set of data (n =...

Question 4 > You run a regression analysis on a bivariate set of data (n = 11). You obtain the regression equation y = 3.4118 + - 32.224 with a correlation coefficient of r = 0.947 (which is significant at a = 0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 70 on the response variable. What is the predicted explanatory value? X (Report answer accurate to one decimal place.)...
we have a bivariate data set and compute the following: r=.7, sy=9, sx=5, x-bar=13.5, y=51.6. We...

we have a bivariate data set and compute the following: r=.7, sy=9, sx=5, x-bar=13.5, y=51.6. We want to know the equation of the least-squares regression line, but we don't have a calculator. Determine the equation of the least-squares regression line from the given data. a. y=46.34+.39x b. y=-51.52+1.26x c. y=34.59+1.26x d. y=-6.624+.39x e. you can't compute the regression line without knowing the original data.

Using your calculator, run a regression analysis on the following bivariate set of data with y as the response variable. x y 71.2 23.1 90.8 122.9 88.8 82.9 57.7 18.3 71.4 8.6 60.4 25.9 60.2 -43.1 88.5...

Using your calculator, run a regression analysis on the following bivariate set of data with y as the response variable. x y 71.2 23.1 90.8 122.9 88.8 82.9 57.7 18.3 71.4 8.6 60.4 25.9 60.2 -43.1 88.5 77.4 68.2 -5.9 41.1 -83 61.4 -2.5 87.1 39.4 Find the correlation coefficient and report it accurate to three decimal places. r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer...
3) Consider the following linear regression: y =a + Bx + Show that minimizing the sum...

3) Consider the following linear regression: y =a + Bx + Show that minimizing the sum of squared residuals ( - ) to obtain OLS estimators of the slope and the intercept results in the following algebraic properties a) b) Ex = 0 = 0 4) You run the following regression: TestScore = a + (Female) + where TestScore is measured on a scale from 400 to 1000, and female is an indicator for the gender of the student. You...
A regression analysis is performed using data for 36 single-family homes to predict appraised value (in...

A regression analysis is performed using data for 36 single-family homes to predict appraised value (in thousands of dollars) based on land area of the property (in acres), X1i, and age (in years), X2i, in month i. Use the results below to complete parts (a) and (b) below. Variable Coefficient Standard Error t Statistic p-value Intercept 392.60372 51.68272 7.60 0.0000 Area, X1 451.43475 100.48497 4.49 0.0001 Age,X2 −2.17162 0.79077 −2.75 0.0097 a. Construct a 95% confidence interval estimate...

For this exercise we will run a regression using Swiss demographic data from around 1888. The...

For this exercise we will run a regression using Swiss demographic data from around 1888. The sample is a cross-section of French speaking counties in Switzerland This data come with the R package datasets. The first step is to load the package into your current environment by typing the command libraryldatasets) in to the R console. This loads a number of datasets including one called swiss. Type help/swiss) in the console for additional details. The basic variable definitions are as...
QUESTION 1 Consider the following OLS regression line (or sample regression function): wage =-2.10+ 0.50 educ...

QUESTION 1 Consider the following OLS regression line (or sample regression function): wage =-2.10+ 0.50 educ (1), where wage is hourly wage, measured in dollars, and educ years of formal education. According to (1), a person with no education has a predicted hourly wage of [wagehat] dollars. (NOTE: Write your answer in number format, with 2 decimal places of precision level; do not write your answer as a fraction. Add a leading minus sign symbol, a leading zero and trailing...
Need help with stats true or false questions Decide (with short explanations) whether the following statements are true or false a) We consider the model y-Ao +A(z) +E. Let (-0.01, 1.5) be a 95% con...

Need help with stats true or false questions Decide (with short explanations) whether the following statements are true or false a) We consider the model y-Ao +A(z) +E. Let (-0.01, 1.5) be a 95% confidence interval for A In this case, a t-test with significance level 1% rejects the null hypothesis Ho : A-0 against a two sided alternative. b) Complicated models with a lot of parameters are better for prediction then simple models with just a few parameters c)...

(We are using the same data set we used in Question 2) You are the manager of the supermarket on the ground floor of H...

(We are using the same data set we used in Question 2) You are the manager of the supermarket on the ground floor of Holmes Building. You are wondering if there is a relation between the number of students attending class at Holmes Institute each day, and the amount of chocolate bars sold. That is, do you sell more chocolate bars when there are a lot of Holmes students around, and less when Holmes is quiet? If there is a...

X Part I. Derive Bivariate Regression by hand. Again, we are using the same data set that we used in the in-cl...

Homework Answers

Add Answer to:
X Part I. Derive Bivariate Regression by hand. Again, we are using the same data set that we used in the in-cl...

Post as a guest

Earn Coins

6. Step 6: the formula for the intercept (i.e. constant: denoted as Alpha Hat) of a...

Question 4 > You run a regression analysis on a bivariate set of data (n =...

we have a bivariate data set and compute the following: r=.7, sy=9, sx=5, x-bar=13.5, y=51.6. We...

Using your calculator, run a regression analysis on the following bivariate set of data with y as the response variable. x y 71.2 23.1 90.8 122.9 88.8 82.9 57.7 18.3 71.4 8.6 60.4 25.9 60.2 -43.1 88.5...

3) Consider the following linear regression: y =a + Bx + Show that minimizing the sum...

A regression analysis is performed using data for 36 single-family homes to predict appraised value (in...

For this exercise we will run a regression using Swiss demographic data from around 1888. The...

QUESTION 1 Consider the following OLS regression line (or sample regression function): wage =-2.10+ 0.50 educ...

Need help with stats true or false questions Decide (with short explanations) whether the following statements are true or false a) We consider the model y-Ao +A(z) +E. Let (-0.01, 1.5) be a 95% con...

(We are using the same data set we used in Question 2) You are the manager of the supermarket on the ground floor of H...

X Part I. Derive Bivariate Regression by hand. Again, we are using the same data set that we used in the in-cl...

Homework Answers

Add Answer to: X Part I. Derive Bivariate Regression by hand. Again, we are using the same data set that we used in the in-cl...

Post as a guest

Earn Coins

Add Answer to:
X Part I. Derive Bivariate Regression by hand. Again, we are using the same data set that we used in the in-cl...