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
Rents for 1 Bedroom Apartments in Irvine A realtor wants to see if the mean rent...
The mayor wants to know whether mean one-bedroom apartment rents in the town really are lower now than last year’s $375 per month average. A random sample of 50 of the town’s 450 one-bedroom apartments is taken. Let alpha = 0.01. The sample mean is $368 and the sample standard deviation is $20. The p-value for the hypothesis test is closest to Group of answer choices .0168 .0067 .0084 .1111
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...
4a A real estate analyst believes that the three main factors that influence an apartment’s rent in a college town are the number of bedrooms, the number of bathrooms, and the apartment’s square footage. For 40 apartments, she collects data on the rent (y, in $), the number of bedrooms (x1), the number of bathrooms (x2), and its square footage (x3). She estimates the following model as Rent = β0 + β1Bedroom + β2Bath + β3Sqft + ε. The following...
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...
Suppose we wanted to compare the somatic complaints (as measured on a scale known as the Physical Symptom Scale or PSS) of three groups of people: non-smokers, smokers, and people who recently quit smoking. Using the following data for the PSS score, do a one-way ANOVA to evaluate smoking and PSS scores: Nonsmokers Smokers Quitters 19 31 30 28 29 22 17 22 29 20 29 29 25 28 34 ...
In Class Group Work 1) In a nationwide study of the weights of adults with gym memberships, researchers obtain a random sample of gym members and group them into three age categories. They conduct an ANOVA test and provide the StatCrunch outputs shown here. Weight 100 Analysis of Variance results: Responses: Weight (kg) Factors: Bin(Age) 80 Response statistics by factor Bin(Age) n Mean Std. Dev. Std. Error 60 O to 25 180 66.060556 12.163718 0.90663 25 to 50 304 70.750329...
Lab 12-Stat 212 Online Suppose we have the following scenario: Rapid drainage of floodwater is crucial to prevent damage during heavy rains. Several designs for a drainage canal were considered for a certain city. Each design was tested four times, to determine how long it took to drain the water in a reservoir. The following table presents the drainage times, in minutes. Mean S. Dev. Variance (i.e. SD") n The overall average is x = 39.67 Type 1 44 4.12...
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...
How does smoking affect testosterone levels in males? Here is some data, where testosterone was measured in 10 men randomly selected from each of 4 populations: nonsmoker former smoker light smoker heavy smoker 1 0.44 0.46 0.37 0.44 2 0.44 0.5 0.42 0.25 3 0.43 0.51 0.43 0.4 4 0.56 0.58 0.48 0.27 5 0.85 0.85 0.76 0.34 6 0.68 0.72 0.6 0.62 7 0.96 0.93 0.82 0.47 8 0.72 0.86 0.72 0.7 9 0.92 0.76 0.6 0.6 10 0.87...