What is bivariate data?

Bivariate data is data which is collected on two variables . Each data value from one variable will be paired with a data value from the other variable

True or False? The independent variable is plotted on the y -axis on a scatter diagram.

False. The independent variable is plotted on the x -axis on a scatter diagram.

True or False? If there is a strong positive correlation between two variables, then this indicates that increasing one variable causes the other variable to increase .

False. If there is a strong positive correlation between two variables, this does not necessarily indicate that increasing one variable causes the other variable to increase . Correlation does not imply causation. There could be other factors which are causing the variables to increase together.

When is a line of best fit appropriate for bivariate data?

A line of best fit is appropriate if there is strong linear (positive or negative) correlation .

True or False? The regression line of y on x can reliably predict the value of x for a value of y within the given range of the data.

False. The regression line of y on x can not reliably predict the value of x for any value of y . The regression line of y on x should only be used to predict values of y .

What is extrapolation with a regression line?

Extrapolation is making a prediction for the value of y for a value of x that is outside of the range of the given data.

What is interpolation with a regression line?

Interpolation is making a prediction for the value of y for a value of x that is within the range of the given data.

Which is more reliable : interpolation or extrapolation ?

Interpolation is more reliable than extrapolation.

What does Pearson's product-moment correlation coefficient ( r ) measure?

Pearson's product-moment correlation coefficient ( r ) measures the linear correlation between two variables.

True or False? The closer the PMCC ( r ) is to 1 , the steeper the gradient of the line of best fit .

False. The PMCC does not measure the steepness of the line of best fit. The closer the PMCC is to 1, the closer the points are to a straight line .

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What is bivariate data?

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What is bivariate data?
Bivariate data is data which is collected on two variables. Each data value from one variable will be paired with a data value from the other variable
True or False?
The independent variable is plotted on the y-axis on a scatter diagram.
False.
The independent variable is plotted on the x-axis on a scatter diagram.
What type of correlation is shown in the diagram below?
The type of correlation shown is negative correlation.
The data points follow a general trend from the top left of the graph to the bottom right.
True or False?
If there is a strong positive correlation between two variables, then this indicates that increasing one variable causes the other variable to increase.
False.
If there is a strong positive correlation between two variables, this does not necessarily indicate that increasing one variable causes the other variable to increase.
Correlation does not imply causation. There could be other factors which are causing the variables to increase together.
When is a line of best fit appropriate for bivariate data?
A line of best fit is appropriate if there is strong linear (positive or negative) correlation.
True or False?
The mean point $(\bar{x}, \bar{y})$ should always lie on a line of best fit.
True.
The mean point $(\bar{x}, \bar{y})$ should always lie on a line of best fit.
What is the equation for the regression line of y on x?
The equation for the regression line of y on x is $y = a x + b$ .
What does the value of $a$ represent in the equation of the regression line of y on x $(y = a x + b)$ ?
The value of $a$ in the equation of the regression line of y on x ( $y = a x + b$ ) represents the gradient of the line. It is the amount that y changes by if x is increased by 1 unit.
What does the value of $b$ represent in the equation of the regression line of y on x $(y = a x + b)$ ?
The value of $b$ in the equation of the regression line of y on x ( $y = a x + b$ ) represents the y-intercept of the line. It is the amount that y would be if x were zero.
True or False?
The regression line of y on x can reliably predict the value of x for a value of y within the given range of the data.
False.
The regression line of y on x can not reliably predict the value of x for any value of y. The regression line of y on x should only be used to predict values of y.
What is extrapolation with a regression line?
Extrapolation is making a prediction for the value of y for a value of x that is outside of the range of the given data.
What is interpolation with a regression line?
Interpolation is making a prediction for the value of y for a value of x that is within the range of the given data.
Which is more reliable: interpolation or extrapolation?
Interpolation is more reliable than extrapolation.
What does Pearson's product-moment correlation coefficient (r) measure?
Pearson's product-moment correlation coefficient (r) measures the linear correlation between two variables.
What values can Pearson's product-moment correlation coefficient (r) take?
Pearson's product-moment correlation coefficient (r) can take any value in the interval $- 1 \leq r \leq 1$ .
True or False?
If all the points on a scatter diagram lie on the same straight line, then $r = 1$ .
False.
If all the points on a scatter diagram lie on the same straight line, then $r = 1$ or $r = - 1$
Is there evidence of linear correlation for a set of bivariate data if:
- $r = 0.7500$ ,
- the critical value is 0.4428?
- $r = 0.7500$
- the critical value is 0.4428
There is evidence of linear correlation because the PMCC is greater than the critical value.
True or False?
The closer the PMCC (r) is to 1, the steeper the gradient of the line of best fit.
False.
The PMCC does not measure the steepness of the line of best fit. The closer the PMCC is to 1, the closer the points are to a straight line.
True or False?
The PMCC for the above scatter diagram is $r = 0.4$ .
False.
The gradient of the line of best fit is negative, therefore there is a negative linear correlation. The value of the PMCC cannot be a positive value for this diagram.

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