1. An economist wants to estimate the relationship between a family's annual income and the amount that family saved. The following data from nine families are obtained: 120 140 150 160 | 170 | 180 200 Annual Income | (Rs. in thousands) Annual Saving (Rs. in thousands) 130 190 0.0 | 0.1 0.2 | 0.2 | 0.5 | 0.5 0.6 | 0.7 0.8 Requirements: a) b) c) d) e) Draw a scatter plot. State whether the slope is positive or negative Find out predicting equation for annual sales based on annual advertising expenditure. Predict annual saving for a family whose annual income is Rs. 250 (in thousands). Find out standard error of the estimate. Find out the standard error of the slope “b". Find out prediction interval for 95% confidence level. f) Check whether the slope b is statistically significant by using t-statistic test. g) Find out coefficient of determination (r2) and interpret the result. h) Check whether the estimating equation is goodness of fit by using f-statistic test. (Note: for hint on solution of problem no. 1, see the solved problem of regression and correlation) 2. The following table shows the chart of price and demand for an item at different prices of time: | Price Rs. (X) Demand (kg) Y a) Predict demand for the price of Rs. 35. (OR Predict Y for X=35) b) Forecast price for the demand of 25 kgs. (Or predict X for Y=25kgs) | 18 12 65 15 18 50 25 22 41 20 45 60 40 56

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1. An economist wants to estimate the relationship between a family's annual income and the amount that
family saved. The following data from nine families are obtained:
170 180
Annual Income
120
130
140
150 160
190
200
(Rs. in thousands)
Annual Saving
0.0
0.1
0.2
0.2
0.5
0.5
0.6
0.7
0.8
(Rs. in thousands)
Requirements:
a)
b)
c)
Draw a scatter plot. State whether the slope is positive or negative
Find out predicting equation for annual sales based on annual advertising expenditure.
Predict annual saving for a family whose annual income is Rs. 250 (in thousands).
Find out standard error of the estimate. Find out the standard error of the slope “b".
Find out prediction interval for 95% confidence level.
Check whether the slope b is statistically significant by using t-statistic test.
Find out coefficient of determination (r2) and interpret the result.
Check whether the estimating equation is goodness of fit by using f-statistic test.
f)
g)
h)
(Note: for hint on solution of problem no. 1, see the solved problem of regression and
correlation)
2. The following table shows the chart of price and demand for an item at different prices of time:
Price Rs. (X)
Demand (kg) Y
a) Predict demand for the price of Rs. 35. (OR Predict Y for X=35)
b) Forecast price for the demand of 25 kgs. (Or predict X for Y=25kgs)
12
15
18
25
22
18
20
65
60
50
41
40
56
45
Transcribed Image Text:1. An economist wants to estimate the relationship between a family's annual income and the amount that family saved. The following data from nine families are obtained: 170 180 Annual Income 120 130 140 150 160 190 200 (Rs. in thousands) Annual Saving 0.0 0.1 0.2 0.2 0.5 0.5 0.6 0.7 0.8 (Rs. in thousands) Requirements: a) b) c) Draw a scatter plot. State whether the slope is positive or negative Find out predicting equation for annual sales based on annual advertising expenditure. Predict annual saving for a family whose annual income is Rs. 250 (in thousands). Find out standard error of the estimate. Find out the standard error of the slope “b". Find out prediction interval for 95% confidence level. Check whether the slope b is statistically significant by using t-statistic test. Find out coefficient of determination (r2) and interpret the result. Check whether the estimating equation is goodness of fit by using f-statistic test. f) g) h) (Note: for hint on solution of problem no. 1, see the solved problem of regression and correlation) 2. The following table shows the chart of price and demand for an item at different prices of time: Price Rs. (X) Demand (kg) Y a) Predict demand for the price of Rs. 35. (OR Predict Y for X=35) b) Forecast price for the demand of 25 kgs. (Or predict X for Y=25kgs) 12 15 18 25 22 18 20 65 60 50 41 40 56 45
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