In regression analysis, if X is to be estimated on the basis of Y, then the equation is called the regression equation of

• A) Y on X
• B) Y on Y
• C) X on X
• D) X on Y

If all the points in the scatter diagram seem to lie near a line, the correlation is said to be

• A) Negative
• B) Positive
• C) Linear
• D) Quadratic

The syntax intercept (known y’s, known x’s ) gives

• A) b)y- intercept
• B) d)None of these
• C) a)x- intercept
• D) c)Both (a) and (b) are same

A simple linear regression model is an equation that describes the straight-line relationship between a dependent variable and an independent variable.

• A) False
• B) True
• C)
• D)

A scatterplot of a correlation of .10 would look most like a

• A) circle.
• B) straight line.
• C) square.
• D) ellipse.

The simple linear regression co-efficient is changed by

• A) Both origin and scale
• B) Scale
• C) none of these
• D) Origin

The positive square root of variance is called.

• A) Standard deviation
• B) Absolute deviation
• C) Dispersion
• D) Mean deviation

If a = 10 , b = 1 , then an estimating regression line is

• A) Y = 1 + 10X.
• B) Y = 10 + 10X.
• C) Y = 10 - X.
• D) Y = 10 + X.

The graph of time series is called

• A) Parabola
• B) Smooth Curve
• C) Histogram
• D) Straight line

If the standard deviation of a population is 9, the population variance is

• A) 21.35
• B) 9
• C) 81
• D) 3

Intercept of the regression line can be defined using the equation $a = Y - bX$.

• A) False
• B) True
• C)
• D)

Square of the deviation will be less if

• A) value is coincident with mean
• B) value is far from mean
• C) value lies on the last quartile of data
• D) value is close to mean

-------------- measures the strength of the linear relationship between the dependent and the independent variable.

• A) Simple correlation coefficient
• B) Normal plot
• C) Y intercept
• D) Distance value

Which is the proportion of total variation explained by the regression line?

• A) Simple coefficient of determination
• B) Standard error of the regression coefficient
• C) Slope of the regression line
• D) Mean square error

Which of the following statements is true regarding the standard deviation?

• A) All the given choices are correct
• B) If it is zero, then all the data values are the same.
• C) It is in the same units as the mean.
• D) It cannot assume a negative value.

If Sx = 2.56, Sy = 15.91, Sxy = 29.59, then correlation Coefficient is

• A) .6744
• B) 0.3880
• C) 0.649
• D) 0.7265

If the sample slope is 3.5, the population slope is 1.5, and the standard error is 0.5, what is the t-statistic?

• A) 1.0
• B) 2.5
• C) 4.0
• D) 3.25

The consistency of two data is computed through the coefficient of variation (CV) when they.

• A) Have Same unit
• B) Unitless
• C) No unit
• D) Have a different unit

Mean deviation of the set 2,4,6 is

• A) 1.33
• B) 01
• C) 4
• D) 2.8

The daily sale of an item in the market.

Period Sale
Number of items Moving Averages
Day 1 Morning 70
Afternoon 60 65
Evening 65 68.3
Day 2 Morning 80 75.7
Afternoon 82 82.3
Evening 85 75.7
Day 3 Morning 60 73.3
Afternoon 75 71.7
Evening 80
By looking at the table, what do you draw a result?

• A) No result can be drawn.
• B) The sale is decreasing.
• C) The sale is increasing.
• D) The sale is constant.