2660 Are You Ready
- 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?
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