Question

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 independent variable in this situation is the hours studied, and the dependent variable is the grade on the test because the grade is dependent on hours studied. The amount of hours one studies has a direct impact on a grade on a test. The relationship between hours studied and the grade on the test is positive because the more hours one studies, theoretically, the better their grade should be.

Write about a real-life situation from which one could model a regression. Explain the situation in detail, and specifically, the independent variable and dependent variable.

Homework Answers

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 statements concerning regression and correlation analysis is/are true? A. If the correlation...
Which of the following statements concerning regression and correlation analysis is/are true? A. If the correlation coefficient is zero, then there is no linear relationship between the two variables. B. A negative value for the correlation coefficient indicates that high values of the independent variable are correlated with low values of the dependent variable.   C. The slope coefficient for a simple linear regression model measures the expected change in the independent variable for a unit change in the dependent variable....
Hours spent asleep and anxiety are negatively correlated. Describe the association between these two variables (sleep...
Hours spent asleep and anxiety are negatively correlated. Describe the association between these two variables (sleep and anxiety) in words.
  A statistical measure of the association between two variables is called a   independent variable b.   correlation...
  A statistical measure of the association between two variables is called a   independent variable b.   correlation coefficient c.   dependent variable d.   placebo e. control variable
Say your supervisor performs a regression and later find that one of your independent variables (X1)...
Say your supervisor performs a regression and later find that one of your independent variables (X1) is correlated with another variable that you did not include the regression (X2), and this other variable might better explain the variance in the dependent variable (Y). Explain what is likely to happen if your supervisor conducts another regression with both of these independent variables included in the model.
When you are presented with a Pearson’s correlation coefficient between two variables for which an increase...
When you are presented with a Pearson’s correlation coefficient between two variables for which an increase in one predicts a decrease in the other, and vice versa, the Pearson’s number will be zero; the Pearson number is only meaningful if the variables move in the same direction as one another close to -1 if the correlation is strong, negative but near zero if the correlation is weak close to -1 if the correlation is strong, close to +1 if the...
This analysis involves two variables, gender and attitudes toward teen sex. Which is your dependent variable?...
This analysis involves two variables, gender and attitudes toward teen sex. Which is your dependent variable? Which is your independent variable? (10 points) Independent variable: Gender Dependent variable: Attitudes toward teen sex What is the level of measurement for each variable? (10 points) Gender ______________________ Attitudes towards teen sex _______ What are the null and alternative hypotheses regarding the potential association between gender and attitudes toward teen sex? (10 points) Null hypothesis ______________________ Alternative hypothesis _________________
If a regression analysis was to be completed on body mass index (BMI), what could be...
If a regression analysis was to be completed on body mass index (BMI), what could be an independent variable in that analysis? Why? If we could, what other independent variables should be included in the analysis? What statistic(s) would show the value of that regression in understanding BMI? Alternatively, find an article that uses regression analysis to study a medical concern. In that study, what was the dependent variable and what were the independent variable(s)? Further, how would you use...
If a regression analysis was to be completed on body mass index (BMI), what could be...
If a regression analysis was to be completed on body mass index (BMI), what could be an independent variable in that analysis? Why? If we could, what other independent variables should be included in the analysis? What statistic(s) would show the value of that regression in understanding BMI? Alternatively, find an article that uses regression analysis to study a medical concern. In that study, what was the dependent variable and what were the independent variable(s)? Further, how would you use...
A sample of 12 observations collected in a regression study on two variables, x(independent variable) and...
A sample of 12 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. SSR=77, SST=88,  summation (x_i-xbar)2=23, summation (x_i-xbar)(y_i-ybar)=44. Calculate the t test statistics to determine whether a statistically linear relationship exists between x and y. A sample of 7 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. SSR=24, SST=42 Using a 0.05 level of significance,...
A cost accountant wants to study the cost behavior of financial information and performs a regression...
A cost accountant wants to study the cost behavior of financial information and performs a regression analysis on 12 months of data. The dependent variable is overhead costs and the independent variable is machine hours. The co-efficient of determination is 0.83. Which of the following is true?             I.   Machine hours and overhead costs are negatively correlated.             II. The coefficient of correlation is approximately 91%             III. Machine hours account for about 61% of the variation in overhead costs....