Question

Suppose that you in a multiple regression model of housing prices, you expect to find a...

Suppose that you in a multiple regression model of housing prices, you expect to find a positive relationship between the square footage of a house (independent variable) and the price of the house (dependent variable). Which of the following would be the most useful test ?

Group of answer choices

a one-tailed   F-test

a two-tailed   F-test

a two-tailed   t-test

a Chi-square test

a one-tailed   t-test

Business   Economics   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

Answer to the following question:

Option d: A One-tailed t-test.

Explanation: In this case, our model will look like:

HP= House Price, SF= Square footage.

We are to check if the β is less than or equal to zero or greater than zero.

The null hypothesis will be: H0: β≤0.

The alternative hypothesis will be: H1: β>0.

We will undertake the t test and test if the t statistic is significantly greater than the zero. And since we are expecting the SF to be positively related with the HP, the rejection region will be in the right tail of the normal curve.

Hope, I solved your query. Give good feedback.

Comment, I'll get back to you ASAP.

Stay safe. Thank you.

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The P-value for a chi-square test is always one-tailed. This is true because of all of...
The P-value for a chi-square test is always one-tailed. This is true because of all of the following reasons, EXCEPT: Group of answer choices Observed data that is either higher or lower than the null hypothesis predicts will result in a positive chi-square value. Only a large positive value of chi-square provides stronger evidence to conclude HA. A chi-square distribution is skewed. The chi-square statistic is always positive, unlike a z or t statistic which can be ether positive or...
Question 1 Heteroskedasticity is a violation of which assumption of the multiple regression model? a) E(ei)...
Question 1 Heteroskedasticity is a violation of which assumption of the multiple regression model? a) E(ei) = 0 b) cov(ei, ej) = 0 where i≠j c) The values of each independent variable xik are not random d) var(ei) = σ2 Question 2 You have estimated a multiple regression model with 6 explanatory variables and an intercept from a sample with 46 observations. What is the critical value (or t-crit) if you want to perform a one-tailed t test at the...
You want to develop a model to predict stock portfolio returns based on the Gross Domestic...
You want to develop a model to predict stock portfolio returns based on the Gross Domestic Product, the Consumer Price Index, the Dow Jones Industrial Average, and whether or not the portfolio is predominantly focused on growth or value. The correct statistical technique/test would be: Chi-square Correlation One-tailed ttest Two-tailed ttest Simple linear regression Multiple regression Logistic regression Dummy variable regression ANOVA One-way ANOVA
An investigator developed a multiple regression model for employee salaries at a particular company. In this...
An investigator developed a multiple regression model for employee salaries at a particular company. In this multiple regression model, the salaries are in thousands of dollars. For example, a data entry of 35 for the dependent variable indicates a salary of $35,000. The indicator variable for gender is coded as if male and if female. The computer output of this multiple regression model shows that the coefficient for this variable is -4.2. The t test showed that was significant at...
You are comparing the average price of gasoline in 10 different US cities. You sample gas...
You are comparing the average price of gasoline in 10 different US cities. You sample gas prices in each city. To see if there is at least one city that has different average prices, you would use Group of answer choices one sample t test independent sample t test dependent (matched) sample t test simple independent sample ANOVA dependent (matched) sample ANOVA factorial ANOVA 2. You want to see if there is any difference in how many students would vote...
1.A real estate analyst has developed a multiple regression line, y = 60 + 0.068 x1...
1.A real estate analyst has developed a multiple regression line, y = 60 + 0.068 x1 – 2.5 x2, to predict y = the market price of a home (in $1,000s), using two independent variables, x1 = the total number of square feet of living space, and x2 = the age of the house in years. With this regression model, the predicted price of a 10-year old home with 2,500 square feet of living area is __________. $205.00 $255,000.00 $200,000.00...
A regression analysis is a statistical assessment of the association between two variables, one of which...
A regression analysis is a statistical assessment of the association between two variables, one of which is dependent and the other, independent. The dependent variable is y and the independent variable is x. Regression analysis is used to find the relationships between these variables. Variables within a regression analysis can be negatively correlated or positively correlated. A situation in which one could model a regression analysis could be the association of hours studied and a grade on a test. The...
Assume you ran a multiple regression to gain a better understanding of the relationship between lumber...
Assume you ran a multiple regression to gain a better understanding of the relationship between lumber sales, housing starts, and commercial construction. The regression uses lumber sales (in $100,000s) as the response variable with housing starts (in 1,000s) and commercial construction (in 1,000s) as the explanatory variables. The estimated model is Lumber Sales = β0 +β1Housing Starts + β2 Commercial Constructions + ε. The following ANOVA table summarizes a portion of the regression results. df SS MS F Regression 2...
IQ scores are normally distributed and you know the mean and standard deviation of these scores....
IQ scores are normally distributed and you know the mean and standard deviation of these scores. Mensa is organization for people with very high levels of intelligence. Mensa accepts as members anyone whose IQ score falls in the top 2% of all people. Your IQ score is 130 and you want to do an analysis to find out if you are eligible. You would need to do a _____ analysis. (Choose 1) _____ a. z-score and the normal curve _____...
In regression analysis, the F test will provide the same conclusion as the t test if​...
In regression analysis, the F test will provide the same conclusion as the t test if​ Question options: ​there is only one dependent variable ​there is only one independent variable ​there is a positive correlation between x and y ​the y-intercept is positive
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT