What is a scatter diagram ?

• A) a) diagram which scatters all elements of the variable.
• B) d) choice # b & c
• C) b) a graphic representation of the relationship of the variables
• D) c) helps plot observed values

In simple linear regression one variable depend upon

• A) one or more than one independent variables
• B) one dependent variable
• C) two dependent variables
• D) one independent variable

In method of least square we

• A) maximize the sum of residuals
• B) minimize the sum of residuals
• C) maximize the sum squares of residuals
• D) minimize the sum squares of residuals

In regression analysis, which of the following can be used as arguments of INTERCEPT(known y’s,known x’s) function ?

• A) All of these
• B) Numbers
• C) Cells with zero value
• D) Names

In linear regression, the models considered are

• A) unknown random error variables.
• B) the regression equations for the sample.
• C) the regression equations for the population.
• D) population and sample linear Regression.

All the students in the class are population whereas the top 10 students in the class are the

• A) extreme values.
• B) random error variables.
• C) best fits of the data.
• D) sample.

The standard error of estimate is

• A) in squared units of the independent variable.
• B) based on squared deviations from the regression line.
• C) may assume negative values.
• D) All the given choices are correct.

Removing the highest & lowest actual-to-moving average values when computing seasonal index for annual data reduces.

• A) Extreme cyclical variations
• B) Secular trend
• C) All of these
• D) Seasonal variations

The variance is calculated by squaring the standard deviation.

• A) False
• B) True
• C)
• D)

Seasonal variation repeat themselves regularly over short term greater than a year.

• A) False
• B) True
• C)
• D)

As the regression line equation is y = ax + b, where a is

• A) The slope
• B) The x-intercept
• C) The y-intercept
• D) y = x

The sum of deviation of the observed values of Yi from the regression line is always equal to

• A) None
• B) 1
• C) 0
• D) -1

Sample regression line provides an estimate of the

• A) Intercept.
• B) population regression line.
• C) random error.
• D) population slope.

The line with slope zero is

• A) oblique
• B) vertical line
• C) horizontal line
• D) parallel

If r is negative, then it indicates

• A) (i) Direct relationship between X & Y.
• B) None of these
• C) (ii) Indirect relationship between X & Y.
• D) Both (i) & (ii).

If mean scores of midterm and final term of a student is 78% and 80%. Also variances are 106 and 77 then

• A) No variation in midterm and final term marks
• B) Final term has greater variation in marks than Midterm
• C) Variation cannot be determine by the given data.
• D) Midterm has greater variation in marks than Final term

Which one of the following is measure of dispersion

• A) Variance
• B) Mean
• C) Both Mean & Median
• D) Median

The sum of squares of the deviations of the observed values from the regression line is

• A) zero
• B) none of these
• C) least or minimum
• D) maximum

If sign of 'r ' is negative then it indicates

• A) (b) Indirect relationship between X & Y
• B) (d) b or c
• C) (c ) X & Y equal
• D) (a) Direct relationship between X & Y

If the regression line is $Y = 8 – 5X$, then “$8$” is the ………. and “$-5$” is the …………… of the regression line.

• A) Intercept, slope
• B) Radius, intercept
• C) Slope, regression coefficient
• D) Slope, intercept