FORESTRY
AGRICULTURAL STATISTICS AND ECONOMICS
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
You are interested in predicting the cost of heating houses on the basis of how many rooms the house has. A scatterplot of 25 houses reveals a strong linear relationship between these variables, so you calculate a least-squares regression line. “Least-squares” refers to
|
|
Minimizing the sum of the squares of the 25 houses’ heating costs.
|
|
|
Minimizing the sum of the squares of the number of rooms in each of the 25 houses
|
|
|
Minimizing the sum of the squares of each house’s actual number or rooms and the predicted number of rooms based on the regression equation.
|
|
|
Minimizing the sum of the squares of the difference between each house’s heating costs and number of rooms.
|
|
|
Minimizing the sum of the squares of the residuals house’s actual heating costs and the predicted heating cost based on the regression equation.
|
Explanation:
Detailed explanation-1: -We often use a regression line to predict the value of y for a given value of x. Regression, unlike correlation, requires that we have an explanatory variable and a response variable.
Detailed explanation-2: -A scatterplot shows the relationship between two quantitative variables measured for the same individuals. The values of one variable appear on the horizontal axis, and the values of the other variable appear on the vertical axis. Each individual in the data appears as a point on the graph.
There is 1 question to complete.