What do you mean of Measure of dispersion?

• A) d)None of these
• B) c)Both (a) & (b)
• C) b)Distances of mean from the values
• D) a)Distances of every two distinct values

The sign of regression coefficient is associated with

• A) co-variance of x and y
• B) none of these
• C) variance of y
• D) variance of x

Time series analysis helps to __________ .

• A) All of these.
• B) Know the behavior of business
• C) Compare two or more series
• D) Make prediction

Equation of line having slope 0 and passing through the point A (0, 0) is

• A) Y=0
• B) X-1= 0
• C) X =0
• D) Y= X

If the INTERCEPT function returns a value of 0, what does it mean?

• A) Regression line passes through the origin.
• B) Slope of the line is zero.
• C) No relationship between the variables.
• D) Dependent and independent variables are uncorrelated.

If a = 3 , b = 1 , then an estimating regression line is

• A) Y = 3 + 3X.
• B) Y = 1 + 3X.
• C) Y = 3 + X.
• D) Y = 3 - X.

The Standard Error of the Mean (STEM) is defined as the ratio of:

• A) standard deviation of the sample divided by its mean.
• B) covariance to the sample size.
• C) standard deviation to the sample size.
• D) mean to the square root of the sample size.

Moving average method is used for measurement of __________ .

• A) Linear Trend
• B) None of these
• C) Non-linear trend
• D) Irregular trend

Which of the following p-values indicates the most statistically significant result?

• A) 0.50
• B) 0.01
• C) 0.10
• D) 0.05

When a straight line is fitted to time series data, it is called

• A) Linear regression
• B) Linear equation
• C) Non-Linear equation
• D) Linear trend

The moving averages of the Prices 55,60,65,70 are

• A) 65,65
• B) 70, 75
• C) 70,60
• D) 60, 65

Equation of line having slope 0 and passing through the point A (0, 1) is

• A) Y-1= X
• B) X=1
• C) X-1= 2(Y+1)
• D) Y =1

The moving averages of the Prices 30, 45, 90, 110 are

• A) 55, 81.67
• B) 45, 88.36
• C) 65, 78.45
• D) 60, 85.45

On the basis of data, we wish to estimate the value of variable Y corresponding to a given value of variable X. It can be accomplished by estimating the value of Y from a type of curve that fits the sample data. This type of curve is called

• A) Least square curve
• B) Ogive curve
• C) Scatter curve
• D) Regression curve

Seasonal variations are ____________ variation.

• A) None of theses.
• B) Long term
• C) Short term
• D) Sudden

Measures of dispersion indicate the

• A) average score.
• B) central tendency of scores.
• C) relationships between variables.
• D) extent to which scores differ from one another.

If Summation(X) = 140 , Summation(Y) = 42 , Summation(XY) = 887 , Summation(X^2) = 3046 , n = 7
Then Slope of data is

• A) 0.31875
• B) -0.89150
• C) 0.19106
• D) -0.21364

If a = 2 , b = 2 , independent variable = 4, then dependent variable for an estimating regression line is

• A) 16
• B) 18
• C) 8
• D) 10

Increase in demand of dry fruits in winter is an example of seasonal variation.

• A) False
• B) True
• C)
• D)

T-Statistic can be computed by using

• A) Multiple R.
• B) (sample slope – population slope) / Standard error.
• C) STEM-Standard Error of mean.
• D) (sample slope – population slope) / Correlation Coefficient.