Quiz 9
Correlation (linear) Regression
1. Which of the following are the correct hypotheses for testing linear correlations?
a) H0: μ = 0 H1: μ ≠ 0
b) H0: = 1 H1: ≠ 1
c) H0: = 0 H1: ≠ 0
d) H0: = H1: ≠
2. The diagram at bottom illustrates which type of relationship?
a) positive linearb) negative linearc) curvilineard) no relationship
Y
X
Y
X
3. What are the critical r-values for a two-tailed test of linear correlation for 12 pairs of data with =0.05?
a) +/–0.648b) +/–0.576c) +/–0.553d) +/–0.532
4. Twelve subjects were tested before and after an experimental treatment. Given a correlation of 0.740 is there a sig. linear correlation given =0.05?
a) yesb) noc) indeterminate
5. Given a correlation coefficient of 0.740 what is the coefficient of determination (amount of explained variation)?
a) 1.480 b) 0.548c) 0.452d) 0.860
6. What condition is necessary before determining a regression line?
a) data are approximately normally distributedb) slope is greater than 1.000c) mean difference is significantd) there is a significant correlation
7. The following regression equation was computed between body MASS and STRENGTH. Given a body mass of 70 kg what is the predicted strength in newtons?
a) 2170 Nb) 700 Nc) 206 Nd) 238 N
Coefficientsa
-31.582 35.494 -.890 .424
3.396 .474 .963 7.167 .002
(Constant)
MASS
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: STRENGTHa.
8. Given the following SPSS output what can you conclude about the relationship?
a) no sig. linearb) sig. positive linearc) sig. negative lineard) sig. curvilinear Correlations
1 .873*
. .023
6 6
.873* 1
.023 .
6 6
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
IQFEMALE
IQMALE
IQFEMALE IQMALE
Correlation is significant at the 0.05 level (2-tailed).*.