When psychological researchers use the correlational method to study variables, the degree of relation between two variables is expressed as a numerical value known as
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'The correlation coefficient is a measure of central tendency in frequency distribution the degree of relationship between two variables the significance of an independent variable the relationship between alpha and beta'
Qudsiya A.
Correlation between variables is: (a) The relationship between ordinal variables in a statistical study. (b) The strength of the relationship between every combination of 2 quantifiable variables in a study. (c) The strength and direction of the linear relationship between every combination of 2 quantifiable variables in a statistical study. (e) None of the above.
Sri K.
A correlation coefficient measures the degree of linear relationship between two variables the magnitude of the difference between two variables the estimated effect size between two variables the degree of relationship between two variables A negative correlation means that a high score on one variable is usually associated with a low score on the other A positive correlation means that a high score on one variable is usually associated with a high score on the other none of the above If the points in a scatter diagram generally tend from upper left to lower right, you would conclude that the correlation was probably negative Which of the following values for a correlation coefficient would indicate the strongest degree of relationship? a. -.69 b. -.35 C. +.03 d. +.59 If ΣZxZy = 0, r is zero If ΣZxZy= 4 and n = 8, r is equal to: a. -.50 b. 0 C. +.50 d. impossible to determine from the information provided If Y' = Ȳ at all levels of X, the correlation coefficient would probably be zero Exhibit 31 Suppose you are interested in marksmanship. You have 50 army enlistees fire a shotgun at 100 targets each, and then have the same 50 individuals fire a rifle at 100 targets each. Thus, each individual gets a shotgun score (number of hits out of 100 targets) and a rifle score (number of hits out of 100 targets). You compute the Pearson product moment correlation coefficient for these subjects and wish to test whether it is significantly different from zero. Refer to Exhibit 31. The number of degrees of freedom for this test is a. 100 99 98 50 48 Two factors that can lower the correlation coefficient are The nonlinearity of a relationship, restriction of range Sample size, restriction of range and The sample size of variable 1, the sample size of variable 2 What does a correlation of .67 between lack of sleep and illness imply? Lack of sleep and illness are highly related. Linear regression determines the best straight line through a data set is used to predict Y from X both a. and b. none of the above The error of prediction for the ith individual is given by ei= Yi - Y'i The least squares criterion for the regression line states that the best regression line produces the smallest sum of squared errors of prediction the variance of the X variable must be less than the variance of the Y variable the variance of the Y variable must be less than the variance of the X variable the best regression line has the steepest slope
Shyam P.
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