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Caroline Samuel

Caroline S.

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What goal should always motivate the actions of the firm's financial manager?

Essentials of Corporate Finance

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Question 2 Suppose that you want to develop a model to predict selling price of homes based on assessed value. A sample of 30 recently sold double-storey in Sungai Long is selected to study the relationship between selling price (in $000) and assessed value ($000). The results are reported as follows: SUMMARY OUTPUT Regression Statistics Multiple R 0.962084 R Square 0.925606 Adjusted R Square 0.922949 Standard Error 3.474934 Observations 30 ANOVA df SS MS F Significance F Regression 1 4206.671 4206.671 348.3738 2.46408E-17 Residual 28 338.1046 12.07516 Total 29 4544.775 Lower Upper Coeff. t Stat P-value 95% 95% Intercept -44.1725 -6.0131 0.0000 -59.2202 -29.1247 Assessed Value 1.7817 18.6648 0.0000 1.5862 1.9773 a) State the regression equation. (6 marks) b) Interpret the meaning of b0 and b1 in this model. (12 marks) c) Use the regression equation developed in (i) to predict the selling price for a house whose assessed value is $55000. (8 marks) d) Determine the coefficient of determination r2 and interpret its meaning in this problem. (8 marks) e) At the 0.05 significance level, is there evidence of a linear relationship between selling price and assessed value? (26 marks) f) Set up a 95% confidence interval estimate of the population slope.

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INSTANT ANSWER

Question 2 Suppose that you want to develop a model to predict selling price of homes based on assessed value. A sample of 30 recently sold double-storey in Sungai Long is selected to study the relationship between selling price (in $000) and assessed value ($000). The results are reported as follows: SUMMARY OUTPUT Regression Statistics Multiple R 0.962084 R Square 0.925606 Adjusted R Square 0.922949 Standard Error 3.474934 Observations 30 ANOVA df SS MS F Significance F Regression 1 4206.671 4206.671 348.3738 2.46408E-17 Residual 28 338.1046 12.07516 Total 29 4544.775 Lower Upper Coeff. t Stat P-value 95% 95% Intercept -44.1725 -6.0131 0.0000 -59.2202 -29.1247 Assessed Value 1.7817 18.6648 0.0000 1.5862 1.9773 a) State the regression equation. (6 marks) b) Interpret the meaning of b0 and b1 in this model. (12 marks) c) Use the regression equation developed in (i) to predict the selling price for a house whose assessed value is $55000. (8 marks) d) Determine the coefficient of determination r2 and interpret its meaning in this problem. (8 marks) e) At the 0.05 significance level, is there evidence of a linear relationship between selling price and assessed value? (26 marks) f) Set up a 95% confidence interval estimate of the population slope.

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2. Suregrip Calculator Company (SCC) needs to estimate its sales for next year. The most recent six years of revenue data for the company's popular line of calculators are given below: (CLO3: 10 Marks) Sales Revenues Sales Revenues Year (millions of dollars) Year (millions of dollars) 1 46.7 4 77.9 2 59.3 5 85.1 3 74.2 6 98.0 a. Assuming that the sales data above are representative of sales expected next year, use time series regression analysis to forecast next year's (Year 7's) sales revenues. (6 Marks) b. Determine the correlation coefficient for the data and interpret its meaning. (2 Marks) c. Find the coefficient of determination for the data and interpret its meaning. (2 Marks)

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Dave Kratz verified

Numerade educator

Entrepreneurs put a great deal of time and effort into launching their own business. While establishing a business, an entrepreneur may also pour all his or her money into it. He or she may not be able to buy new clothes or a luxury car, go on vacation, or spend much time with family until the business becomes profitable and starts generating cash. If so much work sacrifice are involved, why be an entrepreneur?

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Dave Kratz verified

Numerade educator

The accruals concept

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Supreeta N verified

Numerade educator

The accruals concept

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AWAITING AN EDUCATOR

Depreciation on fixed asset is charged to ascertain the correct profit or loss on its sale, to show asset at correct value in the Balance Sheet and to provide for its replacement.

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Sheryl Ezze verified

Numerade educator

A quality control inspector keeps a tally sheet of the number of acceptable and unacceptable products that come off two different production lines. The completed sheet is shown below. Products Production line Acceptable Unacceptable A 150 50 B 135 65 (a) Can the inspector infer at the 5% significance level that production line A is doing a better job than production line B? (11 marks) (b) What is the p-value of the test? (2 marks) (c) Estimate with 95% confidence the difference in population proportions. (7 marks)

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Question 4 A company is interested to knowing if there is a difference in the average salary received by the machine operator for two departments. According to the samples, 18 machine operators from Department A and 13 machine operators from Department B are selected by random and following information is obtained (use  = 0.05) : Department A Department B Sample size 18 13 Mean(RM) 1,000 1,100 Standard deviation(RM) 200 250

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Bean Bhd now decides to increase its debt level, thereby increasing the financial risk associated with its equity shares. Bean’s shareholders consequently increase their required rate of return to 15.4%. Calculate the new price of Bean’s share.

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