Analysis of Variance (ANOVA) is a test for equality of:

• A) variances
• B) only two parameters
• C) means
• D) proportions

In scatter diagram, clustering of points around a straight line indicates

• A) a) Linear regression
• B) b) Non-linear regression
• C) d) Both (a) and (b)
• D) c) Curvilinear linear regression

The measure of how well the regression line fits the data is the:

• A) mean square error
• B) coefficient of determination
• C) standard error of the regression coefficient
• D) slope of the regression line

An observation is measured in kilograms than the unit of standard deviation is.

• A) Kilogram
• B) Kilogram2
• C) None of these
• D) Gram

The fitted line of linear regression is

• A) Curve Line
• B) Parabolic
• C) arc
• D) Straight line

Under which of the following conditions would the standard deviation assume of negative value.

• A) When more than half of the data values were negative.
• B) When all the data values were negative.
• C) The standard deviation cannot be negative
• D) If all the data values were the same.

………….. is used to estimate values of dependent variables on the basis of values of independent variables.

• A) Correlation
• B) Regression
• C) Covariance
• D) Slope

If increase in independent variable cause decrease in dependent variable then the relationship is called

• A) Positive Relationship
• B) Negative Relationship
• C) None of these.
• D) Absolute Relationship

Ms. Faiza calculated a correlation coefficient of .75. Which of the following reflects the best interpretation of this?

• A) Weak negative
• B) Strong negative
• C) Strong positive
• D) Weak positive

Which of the following shows that the measure and height of students in a class have a positive correlation?

• A) Taller students tend to weigh more.
• B) Height and weight are independent.
• C) Taller students tend to weigh less.
• D) Height determines weight directly.

What is the relationship between the RSQ function and the correlation coefficient?

• A) RSQ is the square of the correlation coefficient.
• B) RSQ is unrelated to the correlation coefficient.
• C) RSQ is the square root of the correlation coefficient.
• D) RSQ is double the correlation coefficient.

A scatter diagram is a chart that portrays the relationship between two variables.

• A) True
• B) False
• C)
• D)

The following results were obtained from a simple regression analysis:
y = 37.2895 - 1.2024 X
r^2 = .6774 s = .2934
____________ is the proportion of the variation explained by the simple linear regression model

• A) 0.6774
• B) 0.2934
• C) -1.2024
• D) 37.2895

Suppose the slope of regression line is -20 and the intercept is 9, then the equation of regression line will be ---------------

• A) y +20x -9 = 0
• B) y +20x +9 = 0
• C) y - 20x +9 = 0
• D) y -20x -9 = 0

The regression equation should be used for :

• A) Both populations.
• B) Different populations.
• C) Only one population
• D) Same populations.

In more dispersed ( spread out) set of data

• A) Difference between mean and the median is greater
• B) value of the mode is greater
• C) inter-quartile range is smaller
• D) standard deviation is greater

How can the R-squared value be interpreted in regression analysis?

• A) Correlation coefficient between 𝑥 and 𝑦.
• B) Proportion of the variance in 𝑦 attributable to the variance in 𝑥.
• C) The slope of a regression line.
• D) Probability of no relationship between 𝑥 and 𝑦.

If sx=2, sy = 4 and sxy =10 then correlation r is

• A) 3.54
• B) 1.12
• C) 0.80
• D) 1.25

For a data, if mean > median then its distribution is

• A) symmetrical
• B) right asymmetrical
• C) asymmetrical
• D) left asymmetrical

What effect does a larger sample size have on the Standard Error of the Mean (STEM)?

• A) STEM is unaffected.
• B) It equals STEM with the sample size.
• C) It decreases STEM.
• D) It increases STEM.