Mathematics

Grade10

Easy

Question

# If a regression coefficient is less than 1, then the other should be:

- Equal to 1
- Less than 1
- 0
- Greater than 1

## The correct answer is: Greater than 1

### If a regression coefficient is less than 1, then the other should be Greater than 1.

### Related Questions to study

Mathematics

### If the regression equation is equal to y = 23.6-54.2 x, then 23.6 is the ______ while -54.2 is the _______ of the regression line.

### If the regression equation is equal to y = 23.6-54.2 x, then 23.6 is the ______ while -54.2 is the _______ of the regression line.

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### The coefficient of determination is _________

### The coefficient of determination is _________

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### In regression analysis, the variable that is being predicted is __________

### In regression analysis, the variable that is being predicted is __________

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### Direction : Cars lose value the farther they are driven. A random sample of 11 cars for sale was taken. All 11 cars were the same make and model. A line was fit to the data to model the relationship between how far each car had been driven and its selling price.

Estimate the price of a car that had been driven 48 thousand kilometers $ _______ thousand dollars.

### Direction : Cars lose value the farther they are driven. A random sample of 11 cars for sale was taken. All 11 cars were the same make and model. A line was fit to the data to model the relationship between how far each car had been driven and its selling price.

Estimate the price of a car that had been driven 48 thousand kilometers $ _______ thousand dollars.

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### The difference between the actual value and the predicted is called the __________

### The difference between the actual value and the predicted is called the __________

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### Using the model 𝘺 = 𝟦𝟩.𝟪𝟩𝘹 + 𝟣𝟥𝟦𝟧.𝟢𝟦, where x is the number of years after 1975 and y is in thousands of miles, estimate the number of miles people flew on the airline in 2008.

### Using the model 𝘺 = 𝟦𝟩.𝟪𝟩𝘹 + 𝟣𝟥𝟦𝟧.𝟢𝟦, where x is the number of years after 1975 and y is in thousands of miles, estimate the number of miles people flew on the airline in 2008.

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### What is extrapolation?

### What is extrapolation?

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### What is interpolation?

### What is interpolation?

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### What are the signs that a residual plot shows a line of best fit ?

i) The residual values are distributed in a clear pattern on both sides of the y-axis.

ii) The residual values are randomly distributed on either side of the x-axis.

iii) The residual values are randomly distributed on either side of the y-axis.

iv) The residual values are clustered close to the x-axis.

### What are the signs that a residual plot shows a line of best fit ?

i) The residual values are distributed in a clear pattern on both sides of the y-axis.

ii) The residual values are randomly distributed on either side of the x-axis.

iii) The residual values are randomly distributed on either side of the y-axis.

iv) The residual values are clustered close to the x-axis.

MathematicsGrade10

Mathematics

### What is a residual ?

i) The difference between the y-value of a data point and the corresponding y-value from the line of best fit.

ii) Actual y-value minus predicted y-value.

iii) All the remaining points that the line of best fit did NOT touch.

iv) The ratio of how many data points are on the line vice not on the line.

### What is a residual ?

i) The difference between the y-value of a data point and the corresponding y-value from the line of best fit.

ii) Actual y-value minus predicted y-value.

iii) All the remaining points that the line of best fit did NOT touch.

iv) The ratio of how many data points are on the line vice not on the line.

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### What does a correlation coefficient of r = -0.8 reveal about the data it describes?

### What does a correlation coefficient of r = -0.8 reveal about the data it describes?

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### What does a correlation coefficient of r = 0.3 reveal about the data it describes?

### What does a correlation coefficient of r = 0.3 reveal about the data it describes?

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### What does it mean when the correlation coefficient is close (but not equal) to zero?

### What does it mean when the correlation coefficient is close (but not equal) to zero?

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### What does it mean when the correlation coefficient is exactly equal to zero?

### What does it mean when the correlation coefficient is exactly equal to zero?

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### What does it mean when the correlation coefficient is close to -1 ?

### What does it mean when the correlation coefficient is close to -1 ?

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