 |
1 | |
When drawing a scattergram, the independent variable should be put on the |
|
| | A) | data points |
| | B) | vertical axis |
| | C) | origin |
| | D) | line |
| | E) | horizontal axis |
|
2 | |
In the expression x = f(y), the ‘f’ stands for |
|
| | A) | function |
| | B) | factor |
| | C) | filter |
| | D) | frequency |
| | E) | factorial |
|
3 | |
In the expression  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0077098056/70736/ch09q03eq01.GIF','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (1.0K)</a>]]> which is the dependant variable? |
|
| | A) | y |
| | B) |  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0077098056/70736/ch09q03eq02.GIF','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>]]> |
| | C) |  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0077098056/70736/ch09q03eq03.GIF','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>]]> |
| | D) | z |
| | E) | f |
|
4 | |
If b is negative in the linear equation y = ax + b, then the line on the graph is |
|
| | A) | Downwards from left to right |
| | B) | Flat |
| | C) | Upwards from left to right |
| | D) | Flat or up or down from left to right |
| | E) | Curved |
|
5 | |
What is least squares linear regression? |
|
| | A) | A technique for comparing the means of two data sets |
| | B) | A technique for drawing scattergrams |
| | C) | A technique for comparing the probability distributions of two datasets |
| | D) | A technique for calculating the correlation coefficient for paired observations |
| | E) | A technique for establishing the straight line of best fit for paired observations |
|
6 | |
Why is the MAE (mean absolute error) less useful than the MSE (mean squared error) for fitting linear regression lines? |
|
| | A) | MAE is always bigger than MSE |
| | B) | MAE is always smaller than MSE |
| | C) | Formulae are available for a and b using MSE |
| | D) | MAE is subject to random error |
| | E) | MSE is more accurate |
|
7 | |
The ‘least’ in least squares regression relates to the minimisation of the distance of the regression line from the origin. |
|
| | A) | TRUE |
| | B) | FALSE |
|
8 | |
The coefficient of determination is the square root of the correlation coefficient. |
|
| | A) | TRUE |
| | B) | FALSE |
|
9 | |
A value of the coefficient of determination close to 1 or to –1 tells us that |
|
| | A) | The linear regression is a good fit to the data |
| | B) | The linear regression is a poor fit to the data |
| | C) | The values of x do not vary much |
| | D) | The values of y do not vary much |
| | E) | The relationship probably is not linear |
|
10 | |
Which of the following is not an inappropriate use of a linear model y = ax+b? |
|
| | A) | Using the model to predict values of y for any values of x |
| | B) | Using the model because it is easy to calculate a and b, even though another type of model fits better |
| | C) | Using the model to predict values of y for values of x close to or within the range of the original dataset |
| | D) | Using the model when there is no theoretical reason for a relationship between x and y |
| | E) | Using the model to prove spurious relationships |
|
11 | |
Another name for the ‘range of applicability’ of a model is the ‘________ of the function’ |
|
| | A) | Determinant |
| | B) | Domain |
| | C) | Inverse |
| | D) | Minimum |
|
12 | |
What is the general form of a linear equation? |
|
| | A) | y = c |
| | B) | y = ax + b |
| | C) |  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0077098056/70736/ch09q12eq01.GIF','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (1.0K)</a>]]> |
| | D) | y = x + 1 |
| | E) | y = (a/x) + b |
|
13 | |
In the linear function y = ax + b, ‘a’ defines the intercept. |
|
| | A) | TRUE |
| | B) | FALSE |
|
14 | |
A linear function y = ax + b always defines a straight line, regardless of the values of ‘a’ and ‘b’. |
|
| | A) | TRUE |
| | B) | FALSE |
|
15 | |
If y = ax + b, where a = 4 and b = -2, what is the value of y when x = 2? |
|
| | A) | 2 |
| | B) | 4 |
| | C) | 6 |
| | D) | 8 |
| | E) | 10 |
2003 A McGraw-Hill Online Learning Centre