Homework Answers
Answers :
1) A)Slope
2) D) Least Square Method
From the regression Graph REgression equations Y= 
= Intercept
=
Sole
the Procedure use to find out the REgression Line is the Lease Square Method. Least Square method is the best method to Predict the Regression Line
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nstructor as a Multiple Choice 04-08 of the regression line. In the graph of the simple...
b Multiple Choice 14-019 A regression analysis between sales u in $tooo) and advertising (x in...
b Multiple Choice 14-019 A regression analysis between sales u in $tooo) and advertising (x in dollars) resulted in the following equation: Y = 30,000 + 4x The above equation implies that an O a. increase of $1 in advertising is associated with an increase of $4 in sales. O b. increase of $1 in advertising is associated with an increase of $4000 in sales. O c. increase of $4 in advertising is associated with an increase of $4000 in...
step by step please ? ? QUESTION 04 (20 points) - Simple Linear Regression (SLR) We...
step by step please
? ? QUESTION 04 (20 points) - Simple Linear Regression (SLR) We have the following hypothetical data for the independent variable x (other names: regressor, covariate, or explanatory variable) and the dependent variable y (regressand). Obs. х y x² ху 1 8.34 0.75 ? ? 2 3.21 2.37 10.30410 3 5.96 3.80 ? 1.27 4.40 ? 5.58800 5 4.28 2.52 ? TOTAL ? ? ? (a) Use Excel to draw a y-x scatter diagram with y...
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A....
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A. independent variable O B. slope of the fitted line C. dependent variable O D.y-intercept Reset Selection Question 2 of 5 1.0 Points In the simple linear regression equation, (y a+bx+ e) the y is the O A. independent variable O B. dependent variable O C. slope of the fitted line D. y-intercept Question 3 of 5 1.0 Points The R2 for a regression model...
7,10,11 Based on the following regression output, what is the equation of the regression line? Regression...
7,10,11
Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
a. Fit a simple linear regression model relating number (y) of software millionaire birthdays in a...
a. Fit a simple linear regression model
relating number (y) of software millionaire birthdays in a decade
to total number (x) of births in this country. Give the least
squares prediction equation.
b. Practically interpret the estimated y-intercept and
slope of the model, part a.
c. Predict the number of software millionaire birthdays
that will occur in a decade where the total number of births in
this country is 26 million.
d. Fit a simple linear regression model relating number...
In a simple linear regression model, the intercept of the regression line measures
QUESTION 1In a simple linear regression model, the intercept of the regression line measuresa.the change in Y per unit change in X.b.the change in X per unit change in Y.c.the expected change in Y per unit change in X.d.the expected change in X per unit change in Y.e.the value of Y when X equals 0.f.the value of X when Y equals 0.g.the average value of Y when X equals 0.h.the average value of X when Y equals 0.QUESTION 2In a...
I need help answering these questions MULTIPLE CHOICE. Choose the one alternative that best completes the...
I need help answering these questions
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answer the question. 1) The purpose of a linear regression line is to A) calculate the correlation coefficient B) display the bivariate distribution of X and Y C) identify the mean of the X and Y variables D) predict one set of scores from another set 2) The general equation for a straight line is expressed as A) Y - X- B)...
18 QueSLIVIT TO Based on the following regression output, what is the equation of the regression...
18
QueSLIVIT TO Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.99313 0.98630 R Square Adjusted R Square Standard Error 0.98238 2.94802 10 Observations ANOVA df SS MS Significance F Regression 4379.182 2189.591 251.943 0.0000 Residual 7 60.836 8.691 9 Total 4440.017 Coefficients Standard Error t Stat P-value Lower 95% 14.169 3.856 3.674 Intercept 0.008 5.050 X Variable 1 0.985 0.114 8.607 0.000 0.714 X Variable 0.995 0.057 17.498 0.000...
1. Consider the following simple regression model: y = β0 + β1x1 + u (1) and...
1. Consider the following simple regression model: y = β0 + β1x1 + u (1) and the following multiple regression model: y = β0 + β1x1 + β2x2 + u (2), where x1 is the variable of primary interest to explain y. Which of the following statements is correct? a. When drawing ceteris paribus conclusions about how x1 affects y, with model (1), we must assume that x2, and all other factors contained in u, are uncorrelated with x1. b....
Using simple linear regression analysis, the equation for a line through the data is estimated to...
Using simple linear regression analysis, the equation for a line through the data is estimated to be y = 1.9 + 0.55. For each of the x values, calculate the observed y. the predicted y and the residual. 4.3 For the following four regression equations, explain what the slope and intercept mean. a. wage = 2.05 + 1.32education, where wages dollars earned per hour and educa- b. GPA c, sleep 10.33-0.44work, where sleep is hours spent sleeping per night and...
b Multiple Choice 14-019 A regression analysis between sales u in $tooo) and advertising (x in dollars) resulted in the following equation: Y = 30,000 + 4x The above equation implies that an O a. increase of $1 in advertising is associated with an increase of $4 in sales. O b. increase of $1 in advertising is associated with an increase of $4000 in sales. O c. increase of $4 in advertising is associated with an increase of $4000 in...
step by step please
? ? QUESTION 04 (20 points) - Simple Linear Regression (SLR) We have the following hypothetical data for the independent variable x (other names: regressor, covariate, or explanatory variable) and the dependent variable y (regressand). Obs. х y x² ху 1 8.34 0.75 ? ? 2 3.21 2.37 10.30410 3 5.96 3.80 ? 1.27 4.40 ? 5.58800 5 4.28 2.52 ? TOTAL ? ? ? (a) Use Excel to draw a y-x scatter diagram with y...
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A. independent variable O B. slope of the fitted line C. dependent variable O D.y-intercept Reset Selection Question 2 of 5 1.0 Points In the simple linear regression equation, (y a+bx+ e) the y is the O A. independent variable O B. dependent variable O C. slope of the fitted line D. y-intercept Question 3 of 5 1.0 Points The R2 for a regression model...
7,10,11
Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
a. Fit a simple linear regression model
relating number (y) of software millionaire birthdays in a decade
to total number (x) of births in this country. Give the least
squares prediction equation.
b. Practically interpret the estimated y-intercept and
slope of the model, part a.
c. Predict the number of software millionaire birthdays
that will occur in a decade where the total number of births in
this country is 26 million.
d. Fit a simple linear regression model relating number...
I need help answering these questions
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answer the question. 1) The purpose of a linear regression line is to A) calculate the correlation coefficient B) display the bivariate distribution of X and Y C) identify the mean of the X and Y variables D) predict one set of scores from another set 2) The general equation for a straight line is expressed as A) Y - X- B)...
18
QueSLIVIT TO Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.99313 0.98630 R Square Adjusted R Square Standard Error 0.98238 2.94802 10 Observations ANOVA df SS MS Significance F Regression 4379.182 2189.591 251.943 0.0000 Residual 7 60.836 8.691 9 Total 4440.017 Coefficients Standard Error t Stat P-value Lower 95% 14.169 3.856 3.674 Intercept 0.008 5.050 X Variable 1 0.985 0.114 8.607 0.000 0.714 X Variable 0.995 0.057 17.498 0.000...
Using simple linear regression analysis, the equation for a line through the data is estimated to be y = 1.9 + 0.55. For each of the x values, calculate the observed y. the predicted y and the residual. 4.3 For the following four regression equations, explain what the slope and intercept mean. a. wage = 2.05 + 1.32education, where wages dollars earned per hour and educa- b. GPA c, sleep 10.33-0.44work, where sleep is hours spent sleeping per night and...
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