Tenta Flashcards
In order not to violate the requirements necessary to use the chi-squared distribution, each expected freguency in a goodness of fit test must be
a. at least 5 (RÄTT SVAR)
b. at least 10
c. no more than 5
d. less than 2
e. none of the above
Regression analysis is a statistical procedure for developing a mathematical equation that describes how
A. one independent and one or more dependent variables are related
B. several independent and several dependent variables are related
c. one dependent and one or more independent variables are related (RÄTT SVAR)
D. None of these alternatives is correct.
A regression analysis between demand (Y in 1000 units) and price (X in euros) resulted in the following equantion y= 9-3x
The above equantion implies that if the price is increased by €1, the demand is expected to
A. increase by 6 units
B. decrease by 3 units
C. Decrease by 6000 units
D. decrease by 3000 units
E. none of the above
To test for the significance of a regression model involving 3 independent variables and 47 observations, the numerator and denominator degrees of freedom (respectively) for the critical value of F are
A. 47 and 3
B. 3 and 47
C. 2 and 43
D. 3 and 43 (RÄTT SVAR)
E. none of the above
A variable that cannot be measured in terms of how much or how many but instead is assigned values to represent categories is called
A. an interaction
B. a constant variable
C. a quantitative variable
D. a qualitative variable (RÄTT SVAR)
E. None of the above
True or false questions (25 points)
A correct answer to the each question gives 5 points, incorrect answer gives 0 points.
In the chi-square test for goodness of fit, the more the observed counts differ from the expected counts, the larger value of chi-square results, the more evidence we have against the null hypothesis. (True)
An explanatory variable measures an outcome of a study. (False)
Two variables are positively associated when above-average values of one tend to accompany below-average values of the other, and vice versa. (False)
In the regression inference, the standard deviation of y (call it σ) is the same for all values of x. (True)
The regression coefficients (b1……, b2) reflect the unique association of each independent variable with the y variable. (TRUE)