The predicted rate of response of the dependent variable to changes in the independent variable is called ………..

• A) Slope
• B) Intercept
• C) Error
• D) Coefficient of determination

If the coefficient b in the linear regression equation is zero.then the correlation between the two variables must be

• A) 0.5
• B) -1
• C) 0
• D) 1

Standard deviation is

• A) Always non negative
• B) Never Zero
• C) Always Negative
• D) Positive or Negative

The correlation coefficient between two variables, r:

• A) depends on which of the two variables is chosen to be the dependent variable.
• B) is expected to be zero when there is no relationship between the variables.
• C) can only have a valid significance test carried out when one variable follows a Normal Distribution
• D) must lie between -1 and +1 inclusive.

The regression equation is the line with slope passing through

• A) The point (bar(y),bar(x))
• B) The point (y,x)
• C) The point (x,y)
• D) The point (bar(x),bar(y))

There are two graphs A1 and A2. The graph A1 has r = 0.9 and the graph A2 has r = 0.5, then what do you conclude?

• A) A1 is more scattered than A2.
• B) A1 and A2 are equally scattered.
• C) A1 is less scattered than A2.
• D) None of these

Seasonal variation is defined as ______.

• A) Actual × trend
• B) None of these
• C) Actual +trend
• D) Actual –trend

If the sample variance for a frequency distribution consisting of hourly wages was computed to be 10, what is the sample standard deviation?

• A) $4.67
• B) $10.00
• C) $1.96
• D) $3.16

The degree of steepness of a straight line is called

• A) orientation
• B) skewness
• C) intercept
• D) slope

If the known y- values and x-values are given by following sets {2,3,9,1,8,7,5} and X={6,5,11,7,5,4,4} respectively then slope of the regression line is

• A) 5/4
• B) 0.05334
• C) 0.305
• D) 0.53

The rise and fall of time series over periods longer than one year is called __________.

• A) Cyclical variation
• B) None of these
• C) Seasonal variation
• D) Irregular variation

How does the INTERCEPT function handle blank cells in the x or y range?

• A) Treats blank cells as zeros.
• B) Returns a #N/A error.
• C) Returns a #VALUE! error.
• D) Skips blank cells and continues calculation.

A simple linear regression equation.

• A) Is not affected by changes in the units in which variables are measured.
• B) Describes a line which goes through the point defined by the means of the two variables.
• C) Always describes a line with zero slope.
• D) Always describes a line which goes through the origin.

What is the difference between positive and negative correlation?

• A) Positive correlation indicates a direct relationship, while negative correlation indicates an inverse relationship.
• B) Negative correlation is stronger than positive correlation.
• C) Positive correlation is stronger than negative correlation.
• D) There is no difference between positive and negative correlation.

The value of a correlation is reported by a researcher to be r = -0.5. Which of the following
statements is correct?

• A) The x-variable explains 25% of the variability in the y-variable.
• B) The x-variable explains -50% of the variability in the y-variable.
• C) The x-variable explains 50% of the variability in the y-variable.
• D) The x-variable explains -25% of the variability in the y-variable.

The relationship between height and educational qualification

• A) The height is dependent and education is independent variable
• B) There is direct relationship between the two
• C) There is inverse relationship between the two
• D) The height is independent and education is dependent variable

If all of the y-values are the same, what will the SLOPE function return?

• A) 1
• B) #DIV/0! error
• C) 0
• D) Undefined

If Sxy = -5.5 , Sy = 2.35 and r = -0.08, then Standard deviation of X is

• A) 29.25
• B) 20.47
• C) 15.77
• D) 12.85

In MS-Excel the function for finding the absolute of a number is

• A) $abs(number)$
• B) $=abs(number)$
• C) $=abs[number]$
• D) $=abs \{number \}$

The square of the correlation coefficient is called the

• A) big R
• B) variance
• C) covariance
• D) coefficient of determination