Stats-Regression Line: Predicting Housework from Income

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In summary, married women who work full-time outside the home do about one less hour of housework per week for every $7500 they earn, regardless of their husband's income. The slope coefficient in the regression model for predicting a woman's housework from her income would be negative, indicating a negative relationship between the two variables. This means that as a woman's income increases, her hours of housework decrease. If one woman's income is $30,000 more than another's, we can expect the second woman to do 4 fewer hours of housework per week (since $30,000/$7,500 = 4).
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Jay J
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Homework Statement


Married Women do about one less hour of housework a week for every $7500 they earn as full-time workers outside the home, regardless of their husbands income.

A)What would be the numerical value of the slope coefficient in the regression model that predicts woman's housework from their income? What does the sign of the slope tell us about the relationship between these variables?

B)Suppose Lynette's salary is $30,000 greater than Gabrielle's. What would you predict to be the difference in hours of housework they each do?


Homework Equations



y=mx+b

The Attempt at a Solution



I know for part 2 of A that the slope will be negative, therefore the relationship will be a negative association..but how do you actually calculate the slop with no data?

Help Please
 
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  • #2
Jay J said:

Homework Statement


Married Women do about one less hour of housework a week for every $7500 they earn as full-time workers outside the home, regardless of their husbands income.

A)What would be the numerical value of the slope coefficient in the regression model that predicts woman's housework from their income? What does the sign of the slope tell us about the relationship between these variables?
With the income on the horizontal axis and the hours of housework on the vertical axis, suppose that one data point is ($30,000, y). What would you expect the 2nd coordinate to be if the first coordinate changed to $37,500?
Jay J said:
B)Suppose Lynette's salary is $30,000 greater than Gabrielle's. What would you predict to be the difference in hours of housework they each do?


Homework Equations



y=mx+b

The Attempt at a Solution



I know for part 2 of A that the slope will be negative, therefore the relationship will be a negative association..but how do you actually calculate the slop with no data?

Help Please
 

FAQ: Stats-Regression Line: Predicting Housework from Income

What is a regression line in statistics?

A regression line is a straight line that represents the relationship between two variables in a scatter plot. It is used to predict the values of one variable based on the values of the other variable.

How is a regression line calculated?

A regression line is calculated using a statistical method called least squares regression. This method minimizes the sum of the squared differences between the actual data points and the predicted values on the line.

What does the slope of a regression line represent?

The slope of a regression line represents the change in the dependent variable for every one unit change in the independent variable. It indicates the direction and strength of the relationship between the two variables.

How do you interpret the intercept of a regression line?

The intercept of a regression line represents the predicted value of the dependent variable when the independent variable is equal to zero. It is useful for understanding the starting point of the relationship between the two variables.

What is the significance of the correlation coefficient in a regression line?

The correlation coefficient, also known as r-value, represents the strength and direction of the relationship between the two variables in a regression line. It ranges from -1 to 1, with values closer to -1 or 1 indicating a strong relationship, and values closer to 0 indicating a weak relationship.

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