Question

Which of the following pairs of variables is likely to have a positive correlation? Check all...

Which of the following pairs of variables is likely to have a positive correlation? Check all that apply.
The square footage of a home and its price
The number of miles run and the number of calories burned
A person's height and their favorite color
The speed of a car and the time to its destination
Years of education and salary

Homework Answers

Answer #1
  • The square footage of a home and its price
  • The number of miles run and the number of calories burned
  • Years of education and salary

two values are positively correlated if increase in one is expected to cause increase in the other. We know that as area of house increases, it price also will increase. The more we run, more calories we burn. The more educated you are, more salary you may expect to get. SO, we can say that these are the set of variables that are positively correlated.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Which of the following pairs of variables is likely to have a negative correlation? Check all...
Which of the following pairs of variables is likely to have a negative correlation? Check all that apply. The number of miles run and the number of calories burned The speed of a car and the time to its destination A person's height and their favorite color The square footage of a home and its price Years of education and salary
For each of the following, indicate whether a correlation is most likely (a) positive, (b) negative...
For each of the following, indicate whether a correlation is most likely (a) positive, (b) negative or (c) cannot be a correlation. Write the LETTER of the correct answer. The number of calories consumed and a person's weight The age of a child and the number of pets owned Number of hours spent partying and GPA The age of a car and its resale value A person's age and the person's income Weekly ice cream sales and weekly average temperature
Determine whether each pair of variables is likely to have a positive correlation, a negative correlation,...
Determine whether each pair of variables is likely to have a positive correlation, a negative correlation, or no correlation. Number of calories consumed and amount of weight gained: Years of heavy smoking and life expectancy: Suppose that a statistical study shows that the correlation between two variables, X and Y, is r = 0.01. What can you say about the relationship between X and Y?
Determine if the correlation between the two given variables is likely to be positive or negative,...
Determine if the correlation between the two given variables is likely to be positive or negative, or if they are not likely to display a linear relationship. The age of a car and its selling price
Correlation and Regression Analysis Question 1                  (3 marks) For each of the following pairs of variables,...
Correlation and Regression Analysis Question 1                  For each of the following pairs of variables, indicate whether you would expect a positive correlation, a negative correlation or a zero correlation. Explain your choices briefly. Interest rate and number of mortgage applications. Interest rate and money saved in building societies. Height and IQ. Height and shoe size. Temperature in London and temperature in Birmingham. Temperature in London and temperature in Sydney. Mark in Mathematics exam and mark in Latin exam. Mark in...
For each of the following pairs of variables, indicate whether you would expect a positive correlation,...
For each of the following pairs of variables, indicate whether you would expect a positive correlation, a negative correlation, or little or no correlation. For the ones which are correlated, is the relationship causal? If so, which one causes (or at least influences) the other? If not, suggest a third variable which might be related to both. a:The number of cavities in elementary school children and their vocabulary size. b:The number of fire engines at each fire and the damage...
MATHEMATICS 1. The measure of location which is the most likely to be influenced by extreme...
MATHEMATICS 1. The measure of location which is the most likely to be influenced by extreme values in the data set is the a. range b. median c. mode d. mean 2. If two events are independent, then a. they must be mutually exclusive b. the sum of their probabilities must be equal to one c. their intersection must be zero d. None of these alternatives is correct. any value between 0 to 1 3. Two events, A and B,...
Please answer the following Case analysis questions 1-How is New Balance performing compared to its primary...
Please answer the following Case analysis questions 1-How is New Balance performing compared to its primary rivals? How will the acquisition of Reebok by Adidas impact the structure of the athletic shoe industry? Is this likely to be favorable or unfavorable for New Balance? 2- What issues does New Balance management need to address? 3-What recommendations would you make to New Balance Management? What does New Balance need to do to continue to be successful? Should management continue to invest...
Delta airlines case study Global strategy. Describe the current global strategy and provide evidence about how...
Delta airlines case study Global strategy. Describe the current global strategy and provide evidence about how the firms resources incompetencies support the given pressures regarding costs and local responsiveness. Describe entry modes have they usually used, and whether they are appropriate for the given strategy. Any key issues in their global strategy? casestudy: Atlanta, June 17, 2014. Sea of Delta employees and their families swarmed between food trucks, amusement park booths, and entertainment venues that were scattered throughout what would...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT