Homework Answers
Sol:
Ho:mu1=mu2=mu3
Ha:atleast one of the group means are different
Based on p value,the realtor decides that there is no strong evidence that the mean rent is different among web sites
At 2% critical F value is =F.INV.RT(0.02,2,34)=4.398746475
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Rents for 1 Bedroom Apartments in Irvine A realtor wants to see if the mean rent...
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She estimates the following model as Rent = β0 + β1 Bedroom + β2 Bath + β3 Sqft + ε. The following ANOVA table shows a portion of the regression results. df SS MS F Regression 3 5,694,717 1,898,239 50.88 Residual 36 1,343,176 37,310 Total 39 7,037,893 Coefficients Standard Error t-stat p-value Intercept 300 84.0 3.57 0.0010 Bedroom 226 60.3 3.75 0.0006 Bath 89 55.9 1.59 0.1195 Sqft 0.2 0.09 2.22 0.0276 The coefficient of determination indicates that ________.
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Question 13 Not yet answered Points out of 1.00 P Flag question A Realtor examines the...
Question 13 Not yet answered Points out of 1.00 P Flag question A Realtor examines the factors that influence the price of a house in Arlington, Massachusetts. He collects data on recent house sales (Price, in $1000s) and notes each house's square footage (Sqft) and the number of bedrooms (Beds). Using the following regression analysis output, at 0.05 level of significance, which of the following predictors is significant in explaining the price (Y) of a house? ANOVA df MS F...
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11. (35 pts) An agent for a real estate company wanted to predict the monthly rent...
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QUESTION 27 Q27. A manager at a local bank analyzed the relationship between monthly salary (y,...
QUESTION 27 Q27. A manager at a local bank analyzed the relationship between monthly salary (y, in $) and length of service (x, measured in months) for 30 employees. She estimates the model: Salary = Bo + B1 Service + ε. The following ANOVA table below shows a portion of the regression results. df SS M S F Regression 555,420 555,420 7.64 Residual 27 1,962,873 72,699 Total 28 2 ,518,293 Coefficients Standard Error t-stat p-value Intercept 784.92 322.25 2.44 0.02...
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Lab 12-Stat 212 Online Suppose we have the following scenario: Rapid drainage of floodwater is crucial...
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Question 9 5 pts Major League Baseball Games The following scatter plot shows the number of...
Question 9 5 pts Major League Baseball Games The following scatter plot shows the number of home runs versus the number of attendance (in 1000 people) for some randomly selected games. Attendance and Runs for 11 Baseball Games. 6 8 10 Runs 2 4 O 20 30 40 -50 Attandance x1000) The following shows the output generated by a software for the least-square regression line using this data: Simple linear regression results: Runs - 1.020 +0.1590 Attendance Sample size: 11...
Question 13 Not yet answered Points out of 1.00 P Flag question A Realtor examines the factors that influence the price of a house in Arlington, Massachusetts. He collects data on recent house sales (Price, in $1000s) and notes each house's square footage (Sqft) and the number of bedrooms (Beds). Using the following regression analysis output, at 0.05 level of significance, which of the following predictors is significant in explaining the price (Y) of a house? ANOVA df MS F...
11. (35 pts) An agent for a real estate company wanted to predict the monthly rent for one- bedroom apartments, based on the size of the apartment (see summary output below). Using the results, identify the coefficient of determination, r2, and interpret its meaning. SUMMARY OUTPUT Regression Statistics Multiple R 0.354314 R Square 0.125539 Adjusted R Square 0.106529 Standard Error 186.0407 Observations 48 ANOVA df Regression Residual Total 1 46 47 Significance SS MS F F 228565.2 228565.2 6.603807 0.013481439...
QUESTION 27 Q27. A manager at a local bank analyzed the relationship between monthly salary (y, in $) and length of service (x, measured in months) for 30 employees. She estimates the model: Salary = Bo + B1 Service + ε. The following ANOVA table below shows a portion of the regression results. df SS M S F Regression 555,420 555,420 7.64 Residual 27 1,962,873 72,699 Total 28 2 ,518,293 Coefficients Standard Error t-stat p-value Intercept 784.92 322.25 2.44 0.02...
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Question 9 5 pts Major League Baseball Games The following scatter plot shows the number of home runs versus the number of attendance (in 1000 people) for some randomly selected games. Attendance and Runs for 11 Baseball Games. 6 8 10 Runs 2 4 O 20 30 40 -50 Attandance x1000) The following shows the output generated by a software for the least-square regression line using this data: Simple linear regression results: Runs - 1.020 +0.1590 Attendance Sample size: 11...
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