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RM3 Simple Regression

Sinead Sherman 10 preguntas

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Preguntas del test (10)

  1. 1Which of the following statistics is NOT produced in the simple regression output?

    1. AF-statistic
    2. Bt- statistic
    3. CR2
    4. Dr
  2. 2The Total SS in the ANOVA output represents which of the following?

    1. AThe Sum of the Squared residuals, calculated using the error between the Mean as a model and the observed data points
    2. BThe error that is present if the relationship is non-linear
    3. CThe Sum of the Squared residuals, calculated using the error between the Regression line as a model and the observed data points
    4. DThe Sum of the Squared residuals that are left over between the mean and the regression line
  3. 3B1 tells us which of the following?

    1. AThe number of predictors we have in the model
    2. BWhat the slope of the regression line is
    3. CWhat is Y when X=0
    4. DWhat is X when Y=0
  4. 4B0 tells us which of the following?

    1. AWhat the slope of the regression line is
    2. BWhat is Y when X=0
    3. CWhether the predictor is a significant predictor or not
    4. DThe number of predictors we have in the model
  5. 5The ANOVA table tells us what?

    1. AWhether the IV is statistically different from the DV
    2. BWhether the scores of the Dependent Variable are normally distributed
    3. CHow well each individual predictor works within the model
    4. DHow well the model works when predicting the outcome variable from the predictor variable
  6. 6The strength of the relationship between the IV and the DV is important because:

    1. AIf the correlation is strong, the predictive capabilities of the model is reduced
    2. BIf we have a positive relationship we can’t infer causality
    3. CIf we have a negative relationship, we can’t use regression
    4. DIf the correlation is strong, the predictive capabilities of the model is improved
  7. 7he following question is based on the output from a simple linear regression looking at how well a child’s reading ability predicts our measure of a child’s Developmental Age (Developmental Quotient).

    What proportion of variance in a child’s Developmental Age (Developmental Quotient) is explained by their read

    *IF THIS ANSWER IS WRONG LET ME KNOW PLZ*    Imagen de la pregunta 7
    1. A21%
    2. B46%
    3. C79%
    4. D74%
  8. 8The following question is based on the output from a simple linear regression looking at how well a child’s reading ability predicts our measure of a child’s Developmental Age (Developmental Quotient).


    Which of the following is true about the regression equation?
    1. AWe cannot infer anything from the ANOVA table
    2. BUsing the regression equation is an inferior model compared to using the mean as a model
    3. CUsing the regression equation as a model as opposed to using the mean as a model makes no difference
    4. DUsing the regression equation is a superior model to using the mean as a model
  9. 9The following question is based on the output from a simple linear regression looking at how well a child’s reading ability predicts our measure of a child’s Developmental Age (Developmental Quotient).

    If a child has a reading ability score of 5, what will their predicted Developmental quotient be?

    Imagen de la pregunta 9
    1. A108.023
    2. B100
    3. C18.8
    4. D104.847
  10. 10The following question is based on the output from a simple linear regression looking at how well a child’s reading ability predicts our measure of a child’s Developmental Age (Developmental Quotient).

    If a child has a reading ability score of 9, what will their predicted Developmental quotient be?
    1. A111.993
    2. B11.199
    3. C155.118
    4. D195.86

Información

Descripción
Psychology Test sobre RM3 Simple Regression, creado por Sinead Sherman el 17/01/2019.
Idioma
English
Visitas
53
Etiquetas
psychology
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