Advertisements
Advertisements
Obtain the trend line for the above data using 5 yearly moving averages.
Concept: undefined >> undefined
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.
Concept: undefined >> undefined
Advertisements
If for bivariate data `bar x = 10, bar y = 12,` v(x) = 9, σy = 4 and r = 0.6 estimate y, when x = 5.
Concept: undefined >> undefined
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.
Concept: undefined >> undefined
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`
Concept: undefined >> undefined
Identify the regression equations of x on y and y on x from the following equations, 2x + 3y = 6 and 5x + 7y − 12 = 0
Concept: undefined >> undefined
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 |
Concept: undefined >> undefined
If for a bivariate data byx = – 1.2 and bxy = – 0.3 then find r.
Concept: undefined >> undefined
From the two regression equations y = 4x – 5 and 3x = 2y + 5, find `bar x and bar y`.
Concept: undefined >> undefined
The equations of the two lines of regression are 3x + 2y − 26 = 0 and 6x + y − 31 = 0 Find
- Means of X and Y
- Correlation coefficient between X and Y
- Estimate of Y for X = 2
- var (X) if var (Y) = 36
Concept: undefined >> undefined
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.
Concept: undefined >> undefined
Obtain the trend values for the above data using 3-yearly moving averages.
Concept: undefined >> undefined
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`
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.
Concept: undefined >> undefined
Choose the correct alternative :
We can use regression line for past data to forecast future data. We then use the line which_______.
Concept: undefined >> undefined
Choose the correct alternative :
Which of the following is a major problem for forecasting, especially when using the method of least squares?
Concept: undefined >> undefined
Regression equation of X on Y is ______
Concept: undefined >> undefined
Choose the correct alternative :
What is a disadvantage of the graphical method of determining a trend line?
Concept: undefined >> undefined
Regression equation of X on Y is_________
Concept: undefined >> undefined
The simplest method of measuring trend of time series is ______.
Concept: undefined >> undefined
