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a) The mean of a sample is computed by summing all the data values and dividing

ID: 3232805 • Letter: A

Question

a) The mean of a sample is computed by summing all the data values and dividing the sum by the number of items.
True or false?

b) The value which has half of the observations above it and half the observations below it is called the median.
True or false?

c) If the median is larger than the mean then the data is skewed.

True or false?

d) The coefficient of determination can be a negative number.

True or false?

e) The linear equation that describes how the dependent variable (y) is related to the independent variable (x) is called the regression equation.
True or false?

f) The coefficient of correlation is a number between -1 and +1.

True or false?

g) If the coefficient of correlation is a positive value, then the slope of the regression line must also be positive.
True or false?

h) The coefficient of correlation is the square root of the coefficient of determination.

True or false?

i) If the coefficient of determination is 0.70 then the percentage of variation in the dependent variable explained by the linear regression model is 70%.
True or false?

j) If the coefficient of correlation is zero then there is no association between two variables.

True or false?

k) The standard normal probability distribution (z) is symmetric with mean of 0 and standard deviation of 1.
True or false?

l) If the significance value inside excel regression output is less than 0.05 then conclude that model is statistically significant because the hypothesis that the slope equals zero is rejected.
True or false?

Explanation / Answer

ANSWERS:

a) True

b) True

c) True (Negatively Skewed)

d) False (Coefficient of Determination(R2) is Positive,Beacuse square term always Positive)

e) True

f) True

g) True

h) True

i) False ( If the coefficient of determination is 0.70 then the percentage of variation in the dependent variable explained by the variation in the Independent variable x is 70%.)

j) True

k) True

l) True