Quiz
Sample Exam - Chapter 9
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Perguntas do quiz (8)
1Which one of the following statements about the assumptions in the simple linear model is FALSE?
- AThe random errors are Normally distributed.
- BThe random errors are all independent.
- CThe random errors have a mean of zero.
- DThere is a linear relationship between x and the standard deviation of Y at each value of x.
- EThere is a linear relationship between x and the mean value of Y at X=x.
2Which one of the following statements is FALSE?
- AA prediction interval for another observation whose x-value is well outside the range of observed values is potentially unreliable.
- BFor weak relationships, the width of 95% prediction intervals will be so large that the intervals are of little practical use.
- CFor a specified value of x, the width of a confidence interval for the mean allows for uncertainty in the estimates of ß0 and ß1.
- DFor a specified value of x, the width of a prediction interval for another observation allows for uncertainty in the estimates of ß0 and ß1 and for uncertainty due to the random scatter about the line.
- EFor a specified value of x, the 95% confidence interval for the mean is wider than the associated 95% prediction interval.
3Which one of the following statements about checking the assumptions of the simple linear model is FALSE?
- AA scatter plot of Y versus X is useful for checking whether the assumption of a linear relationship between x and E(Y) is reasonable.
- BA scatter plot of Y versus X is useful for checking for the presence of outliers.
- CA residual plot is useful for checking whether the assumption of independence of the errors is reasonable.
- DA residual plot is useful for checking whether the assumption of a linear relationship between x and E(Y) is reasonable.
- EA residual plot is useful for checking whether the assumption that the random errors all have the same standard deviation, regardless of the value of x, is reasonable.
4Which one of the following would never be used when investigating the relationship between two quantitative variables?
- AA scatter plot.
- BA bar chart.
- CA correlation coefficient.
- DA regression analysis.
- EThe idea of trend and scatter.
5Which one of the following can NOT be found from a regression equation? An estimation of:
- Athe direction (positive or negative) of the linear association between two variables.
- Bthe nature of the trend (linear or curved) between the X and Y variable.
- Cthe average Y-variable change associated with each 1-unit change in the X-variable.
- Dthe average value of the Y-variable at a particular value of the X-variable.
- Ethe value of the Y-variable at a particular value of the X-variable.
6If the correlation coefficient between body weight and weekly income is close to -1, then we can conclude that:
- Ahigh income causes people to eat less food.
- Blow income causes people to eat more food.
- Con average, high income people spend a smaller proportion of their income on their food that low income people.
- Don average, low income people are heavier than high income people.
- Eon average, low income causes people to gain weight.
7The correlation coefficient provides a measure of:
- Athe extent to which changes in one variable cause changes in another variable.
- Bthe strength of the linear relationship between two qualitative variables.
- Cthe strength of the linear relationship between two quantitative variables.
- Dthe extent to which a quantitative and a qualitative variable have a linear relationship.
- Ethe strength of the relationship (not necessarily linear) between two quantitative variables.
8Which one of the following would indicate that the linear relationship between 2 quantitative variables is strongest?
- Ar=0.55
- Br = -0.75
- Cr = 0.00
- Dr= - 0.25
- Er = 0.10
Informações
- Descrição
- Quiz sobre Sample Exam - Chapter 9, criado por sophiereneex em 10-06-2014.
- Autor
- sophiereneex
- Idioma
- English
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- 14
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