(b) Suppose now that you have another dataset comprising a set of observations on a response variable and a single explanatory variable, which you had hoped to be able to analyse using linear regression. You make a first attempt and produce the residual plot shown in Figure 2. 0.5 1 1.5 2.5 Fitted value Figure 2 A residual plot You wonder whether a transformation might allow a better analysis using linear regression. Which variable might you transform, and why? English (United Kingdom) MacBook Residual

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Which variable might you transform, and why?
v sin0 v VX
O TT E Aa fx
Script Equation Statistical Matrix
Symbols
Formula Fraction Function Radical
n Advanced Equation Integral Sum
Symbol
Fonts
(b) Suppose now that you have another dataset comprising a set of
observations on a response variable and a single explanatory variable,
which you had hoped to be able to analyse using linear regression. You
make a first attempt and produce the residual plot shown in Figure 2.
2.5
1.5
Fitted value
0.5
Figure 2 A residual plot
You wonder whether a transformation might allow a better analysis
using linear regression. Which variable might you transform, and why?
English (United Kingdom)
MacBook
Residual
Transcribed Image Text:v sin0 v VX O TT E Aa fx Script Equation Statistical Matrix Symbols Formula Fraction Function Radical n Advanced Equation Integral Sum Symbol Fonts (b) Suppose now that you have another dataset comprising a set of observations on a response variable and a single explanatory variable, which you had hoped to be able to analyse using linear regression. You make a first attempt and produce the residual plot shown in Figure 2. 2.5 1.5 Fitted value 0.5 Figure 2 A residual plot You wonder whether a transformation might allow a better analysis using linear regression. Which variable might you transform, and why? English (United Kingdom) MacBook Residual
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