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HSC Commerce (English Medium) १२ वीं कक्षा - Maharashtra State Board Question Bank Solutions for Mathematics and Statistics

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Mathematics and Statistics
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Obtain the trend line for the above data using 5 yearly moving averages.

[12] Time Series
Chapter: [12] Time Series
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The data obtained on X, the length of time in weeks that a promotional project has been in progress at a small business, and Y, the percentage increase in weekly sales over the period just prior to the beginning of the campaign.

X 1 2 3 4 1 3 1 2 3 4 2 4
Y 10 10 18 20 11 15 12 15 17 19 13 16

Find the equation of the regression line to predict the percentage increase in sales if the campaign has been in progress for 1.5 weeks.

[11] Linear Regression
Chapter: [11] Linear Regression
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If for bivariate data `bar x = 10, bar y = 12,` v(x) = 9, σy = 4 and r = 0.6 estimate y, when x = 5.

[11] Linear Regression
Chapter: [11] Linear Regression
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Fit a trend line to the data in Problem 4 above by the method of least squares. Also, obtain the trend value for the index of industrial production for the year 1987.

[12] Time Series
Chapter: [12] Time Series
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The equation of the line of regression of y on x is y = `2/9` x and x on y is x = `"y"/2 + 7/6`.
Find (i) r,  (ii) `sigma_"y"^2 if sigma_"x"^2 = 4`

[11] Linear Regression
Chapter: [11] Linear Regression
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Identify the regression equations of x on y and y on x from the following equations, 2x + 3y = 6 and 5x + 7y − 12 = 0

[11] Linear Regression
Chapter: [11] Linear Regression
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Obtain the trend values for the data in using 4-yearly centered moving averages.

Year 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985
Index 0 2 3 3 2 4 5 6 7 10
[12] Time Series
Chapter: [12] Time Series
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If for a bivariate data byx = – 1.2 and bxy = – 0.3 then find r.

[11] Linear Regression
Chapter: [11] Linear Regression
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From the two regression equations y = 4x – 5 and 3x = 2y + 5, find `bar x and bar y`.

[11] Linear Regression
Chapter: [11] Linear Regression
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The equations of the two lines of regression are 3x + 2y − 26 = 0 and 6x + y − 31 = 0 Find

  1. Means of X and Y
  2. Correlation coefficient between X and Y
  3. Estimate of Y for X = 2
  4. var (X) if var (Y) = 36
[11] Linear Regression
Chapter: [11] Linear Regression
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Fit a trend line to the data in Problem 7 by the method of least squares. Also, obtain the trend value for the year 1990.

[12] Time Series
Chapter: [12] Time Series
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Obtain the trend values for the above data using 3-yearly moving averages.

[12] Time Series
Chapter: [12] Time Series
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Find the equation of the line of regression of Y on X for the following data:

n = 8, `sum(x_i - barx).(y_i - bary) = 120, barx = 20, bary = 36, sigma_x = 2, sigma_y = 3`

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

The following table shows the production of gasoline in U.S.A. for the years 1962 to 1976.

Year 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976
Production
(Million Barrels)
0 0 1 1 2 3 4 5 6 7 8 9 8 9 10

i. Obtain trend values for the above data using 5-yearly moving averages.
ii. Plot the original time series and trend values obtained above on the same graph.

[12] Time Series
Chapter: [12] Time Series
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Choose the correct alternative :

We can use regression line for past data to forecast future data. We then use the line which_______.

[12] Time Series
Chapter: [12] Time Series
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Choose the correct alternative :

Which of the following is a major problem for forecasting, especially when using the method of least squares?

[12] Time Series
Chapter: [12] Time Series
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Regression equation of X on Y is ______

[11] Linear Regression
Chapter: [11] Linear Regression
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Choose the correct alternative :

What is a disadvantage of the graphical method of determining a trend line?

[12] Time Series
Chapter: [12] Time Series
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Regression equation of X on Y is_________

[11] Linear Regression
Chapter: [11] Linear Regression
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The simplest method of measuring trend of time series is ______.

[12] Time Series
Chapter: [12] Time Series
Concept: undefined >> undefined
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