17 Questions
| Attempts: 143

Questions and Answers

- 1.
**Load Data Set 111 I run a linear regression and find the equation for the line, then use it to predict the value for y when x = 12. Which of the following features would be a concern in terms of accuracy?**- A.
Least squares regression line

- B.
Extrapolation

- C.
Interpolation

- D.
Y squared transformation

- E.
X squared transformation

- F.
Pattern in the residual plot

- 2.
**I have the equation for the best transformation for a set of data : y = 27 - 3.4 * log(x)**To predict the value of y when x = 12, which App should I use? - 3.
**Load Data Set 111 What is the equation for the least squares linear regression? (2 decimal places, no spaces)** - 4.
**Load Data Set 111 Which quadrant does the shape of the data fit?** - 5.
**Load Data Set 111 Which transformations apply to this data set?**- A.
X squared

- B.
Y squared

- C.
Log x

- D.
Log y

- E.
1/x

- F.
1/y

- 6.
**Load Data Set 111 I run a linear regression and find the equation for the line, then use it to predict the value for y when x = 12. Which of the following features would be a concern in terms of accuracy?**- A.
Least squares regression line

- B.
Extrapolation

- C.
Interpolation

- D.
Y squared transformation

- E.
X squared transformation

- F.
Pattern in the residual plot

- 7.
**The accuracy of any prediction using least squares regression, including transformations, is dependent on :**- A.
The regression line or transformation being linear

- B.
Residual plot being random

- C.
High r value

- D.
Interpolation

- E.
Extrapolation

- F.
Positive correlation coefficient

- G.
Scatter plot being random

- 8.
**The two main ways to indicate a predictions from a linear regression line or transformation will be accurate are**:- A.
Extrapolation and linearity

- B.
Interpolation and extrapolation

- C.
Linearity and residual plot being random

- D.
Interpolation and linearity

- E.
Residual plot being random and extrapolation

- F.
Interpolation and positive correlation coefficient

- 9.
**In any linear regression equation, the value of b represents**- A.
The strength of the relationship

- B.
The rate of change in the relationship

- C.
The y intercept

- D.
The spread of the residual plot

- E.
The quadrant of the transformation

- F.
The planet of the transformation

- 10.
**In any linear regression equation, the value of a represents**- A.
The strength of the relationship

- B.
The rate of change in the relationship

- C.
The y intercept

- D.
The spread of the residual plot

- E.
The quadrant of the transformation

- F.
The planet of the transformation

- 11.
**Enter Data Set 111 Using the equation of the regression line to two decimal places, what is the value of y when x is 3.5?** - 12.
**Enter Data Set 111 The data represents the migration of birds over the winter. The y values show the number of birds nesting in a cave. The x values indicate the number of weeks into winter the sample was taken. birds in cave = 62.43 - 8.14 * weeks into winter What is the prediction for the 10th week.** - 13.
**Enter Data Set 131 The data represents the sales of properties in a housing development by JCon Developers. Properties are developed and sold in stages of 10 houses. JCon decide to promote the properties for a month before putting them on sale. After the extensive advertising blitz for a month, JCon Developers have a total of 70 properties. The x values represent the number of months since the start of the advertising blitz. The y values represent the number of houses remaining. number of house remaining = 67.62 - 63.37 * log(months since advertising blitz) How many months will it take to sell out the development?** - 14.
**Enter Data Set 131 The data represents the sales of properties in a housing development by JCon Developers. Properties are developed and sold in stages of 10 houses. JCon decide to promote the properties for a month before putting them on sale. After the extensive advertising blitz for a month, JCon Developers have a total of 70 properties. The x values represent the number of months since the start of the advertising blitz. The y values represent the number of houses remaining. number of house remaining = 67.62 - 63.37 * log(months since advertising blitz)**How many houses would remain to be sold four months after the advertising blitz? - 15.
**Enter Data Set 131 The data represents the sales of properties in a housing development by JCon Constructions. Properties are developed and sold in stages of 10 houses, with seven stages planned. JCon decide to promote the properties for a month before putting them on sale. After the extensive advertising blitz for a month, JCon Developers have a total of 70 properties. The x values represent the number of months since the start of the advertising blitz. The y values represent the number of houses remaining. number of house remaining = 67.62 - 63.37 * log(months since advertising blitz)**Using the transformation equation, predict how many houses*have been sold*6 months after the advertising blitz?