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The regression equation was not found to be significantly different from the line of identity.()

提问人:网友mark0708 发布时间:2022-01-07
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更多“The regression equation was no…”相关的问题
第1题
The regression equation was not found to be significantly different from the line of identity.
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第2题
The difference between the actual y value and the predicted y value found using a regression equation is called the residual.()
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第3题
The difference between the actual y value and the predicted y value found using a regression equation is called the residual.()
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第4题
Stepwise regression is a method to:

A、eliminate insignificant variables from a multiple regression equation.

B、select the best regression equation with a single independent variable.

C、increase the total sum of squares.

D、select independent variables to include in a multiple regression equation that increase the multiple coefficient of determination the most.

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第5题
What does the equation denote if the regression equation is ()

A.The explained sum of squares

B.The total sum of squares

C.The sample regression function

D.The population regression function

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第6题
In a multiple regression equation, there are:

A、two or more dependent variables.

B、two or more independent variables.

C、two or more intercept values.

D、multiple coefficients of determination.

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第7题
Suppose we developed the following least squares regression equation: . What can we conclude?

A、The dependent variable increases 3.5 for each unit increase in X.

B、The equation crosses the Y-axis at 2.1.

C、If X = 5, then is 14.

D、There is a significant positive relationship between the dependent and independent variables.

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第8题
If the coefficient of determination is 95%, then:

A、95% of the variation in the dependent variable is explained by the independent variable.

B、95% of the variation in the independent variable is explained by the dependent variable.

C、the regression equation is 95% correct.

D、95% of the time, the confidence interval is a good estimate.

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第9题
In regression analysis, a dummy variable or indicator variable:

A、may assume only a value of 0 or 1.

B、is another term for the dependent variable.

C、is found by (Y – Ŷ).

D、is equal to Ŷ.

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