Statistics 10/Professor Esfandiari Answers to problems for Week three session two Problem one: a) The independent variable is knowledge of breast cancer and the dependent variable is attitude towards prescreening and they are both quantitative. b) The correlation of 0.80 shows that there is a positive association between the knowledge of breast cancer and attitude toward prescreening. c) Terri is wrong. Correlation does not imply causation. d) Y^ (prescreening) = 15.95 + 0.75(knowledge of breast cancer) If somebody scored zero on knowledge of breast cancer, her score on attitude toward prescreening would be 15.95. If we increase knowledge of breast cancer by one unit, score on attitude toward prescreening for breast cancer increases 0.75 units. e) R^2 = 0.64 and it means that 64% of the variance in attitude toward prescreening can be explained by the knowledge of breast cancer. f) Plot one confirms the positive correlation or the linear positive association between the knowledge of breast cancer and attitude toward prescreening. Thus, it
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Statistics, Normal Distribution,
Correlation and dependence, Pearson product-moment correlation coefficient, Covariance and correlation, Spearman's rank correlation coefficient