The three year moving average of the sales 5,10,15,35 is ___________.

• A) 25,15
• B) 25,30
• C) 15,20
• D) 10,20

Population Linear Regression represents the linear relationship between

• A) two variables.
• B) the variables of all the data.
• C) dependent variables.
• D) few variables.

The equation of the least squares line is
-28.13 + 1.12x
What is the predicted value of y when x = 1,000?

• A) -1148.13
• B) -1091.87
• C) 1091.87
• D) 28131.12

The assumptions of the simple linear regression model include:

• A) the errors have a mean of zero
• B) the errors are normally distributed
• C) All the given options are true.
• D) the error terms have a constant variance

For small to moderate sample size the sample standard deviation is _________.

• A) Overestimated
• B) Unbiased
• C) None of these.
• D) Underestimated

The equation for the intercept of the regression line is Y=a+bX where b is

• A) Equation
• B) Dependant variable
• C) Slope
• D) Intercept

The variance is the average square deviation from the __________.

• A) Average
• B) Mode
• C) Mean
• D) Median

The method of least squares finds the best fit line that _______ the error between observed & estimated points on the line.

• A) d) choice # b & c
• B) a) maximises
• C) c) reduces to zero
• D) b) minimizes

In a linear regression of y on x, y = a + bx

• A) both variables have the same variance
• B) a fitted straight line goes through (0, 0)
• C) x is the explanatory variable
• D) the variance of x is constant for all values of y

If the value of r = 0, then there will be a perfect correlation between two variables.

• A) true
• B) false
• C)
• D)

Observed errors, which represent information from the data which is not explained by the model, are called?

• A) Residuals
• B) Mean square errors
• C) Marginal values
• D) Standard errors

Which of the following is not based on squared deviations from the regression line?

• A) The standard error of estimate.
• B) The coefficient of correlation.
• C) The standard deviation.
• D) The coefficient of determination.

The measure of dispersion are changed by the change of

• A) signs
• B) origin
• C) both origin and scale but not sign
• D) scale

For some data points taken at room temperature or higher, a metal’s electric resistance at 0 degree can be predicted by using the excel formula of ……………..

• A) CORREL
• B) SLOPE
• C) ABS
• D) INTERCEPT

Which of the following is not an example of seasonal variation?

• A) annual earnings for a large corporation
• B) sales of snow blowers
• C) plant and flower sales
• D) use of electricity

What does Multiple R represent in regression analysis?

• A) Proportion of variance explained by the model.
• B) Correlation coefficient between the predicted and observed values.
• C) Square of the R-squared value.
• D) Random error of the model.

If two variables have a correlation coefficient of .30, what percentage of one variable is accounted for by the other variable?

• A) 10%
• B) 70%
• C) 30%
• D) 9%

Which of the following is not the components of time series?

• A) Irregular variation
• B) Variance
• C) Trend
• D) Seasonal variation

If y^ =3+0.5x , then value of y-intercept is

• A) 3
• B) 2
• C) 0.6
• D) 0

The point where a straight line cuts the x-axis is called

• A) starting point
• B) y-intercept
• C) x-intercept
• D) slope