A researcher would like to predict the dependent variable Y from the two independent variables X1 and X2 for a sample of N=16 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test the significance of the overall regression model. Use a significance level α=0.05.
X1 X2 Y
| 48 | 42.3 | 47.1 |
| 36.3 | 58.7 | 65.4 |
| 43.4 | 40.2 | 63.6 |
| 49.5 | 37.9 | 45.6 |
| 45.5 | 37.2 | 50.8 |
| 40.6 | 64.7 | 42.4 |
| 42.5 | 46.7 | 63.1 |
| 42.7 | 40 | 35.8 |
| 55.8 | 10.6 | 52.1 |
| 40.9 | 63 | 60.3 |
| 39.6 | 56.5 | 44 |
| 43.5 | 45.1 | 61.2 |
| 39 | 68.8 | 67.2 |
| 50.4 | 43.7 | 40.6 |
| 46.1 | 42.6 | 58 |
| 55.2 | 19.1 | 49.1 |
SSreg=
SSres=
R2=
F=
P-value =
What is your decision for the hypothesis test?
What is your final conclusion?
In: Statistics and Probability
Raner, Harris & Chan is a consulting firm that specializes in information systems for medical and dental clinics. The firm has two offices—one in Chicago and one in Minneapolis. The firm classifies the direct costs of consulting jobs as variable costs. A contribution format segmented income statement for the company’s most recent year is given:
Assume that Minneapolis’ sales by major market are:
|
Market |
||||||||||||
| Minneapolis | Medical | Dental | ||||||||||
| Sales | $ | 630,000 | 100 | % | $ | 420,000 | 100 | % | $ | 210,000 | 100 | % |
| Variable expenses | 378,000 | 60 | % | 273,000 | 65 | % | 105,000 | 50 | % | |||
| Contribution margin | 252,000 | 40 | % | 147,000 | 35 | % | 105,000 | 50 | % | |||
| Traceable fixed expenses | 75,600 | 12 | % | 21,000 | 5 | % | 54,600 | 26 | % | |||
| Market segment margin | 176,400 | 28 | % | $ | 126,000 | 30 | % | $ | 50,400 | 24 | % | |
|
Common fixed expenses |
18,900 | 3 | % | |||||||||
| Office segment margin | $ | 157,500 | 25 | % | ||||||||
The company would like to initiate an intensive advertising campaign in one of the two market segments during the next month. The campaign would cost $8,400. Marketing studies indicate that such a campaign would increase sales in the Medical market by $73,500 or increase sales in the Dental market by $63,000.
Required:
1. How much would the company's profits increase (decrease) if it implemented the advertising campaign in the Medical Market??
|
2. How much would the company's profits increase (decrease) if it implemented the advertising campaign in the Dental Market?
|
3. In which of the markets would you recommend that the company focus its advertising campaign?
In which of the markets would you recommend that the company focus its advertising campaign?
|
In: Accounting
1.1 A company with a cost of capital of 20% has identified projects with the following cash flows:
| Year | Project C | Project D |
| 0 | -N$100 000 | -N$30 000 |
| 1 | 40 000 | 10 000 |
| 2 | 45 000 | 15 000 |
| 3 | 50 000 | 20 000 |
| 4 | 55 000 | 25 000 |
Required 1:
a. Calculate the payback period of each project.
b. Calculate the NPV and IRR of each project.
c. Which project would you accept on basis of NPV? On basis of IRR?
d. Compare and contrast NPV and IRR by listing advantages and
disadvantages of each method. Based on the comparison, which of the
two projects would you recommend?
2.2 A firm has total financing of N$20.06 million
made up of N$14.46 million worth of equity and N$5.6 million worth
of debt. The after tax cost of debt is N$12.8%. The next dividend
is expected to be 10 cents, the current price is 50 cents
ex-dividend and the growth rate is 8%. The firm is planning to
raise N$5 million in new equity capital at 50 cents with floatation
costs of 2 cents per share.
Required 2:
Calculate the firm’s WACC.
In: Finance
Part 1 (20%)
Implement a class with a main method. Using an enhanced for loop, display each element of this array:
String[] names = {"alice", "bob", "carla", "dennis", "earl", "felicia"};
Part 2 (30%)
In a new class, implement two methods that will each calculate and
return the average of an array of numeric values passed into it.
Constraints:
Implement a new class demonstrating your methods in action. Call your methods at least twice each with arrays of different sizes each time.
Part 3 (50%)
The Valencia Ice Cream Shoppe pays its summer employees bonuses
based on two factors: the number of weeks worked over the summer,
and the number of positive customer reviews. The table below shows
the bonuses based on these two factors.
|
Positive Reviews (right) Weeks Worked (down) |
0 | 1 | 2 | 3 | 4 or more |
| 0 | 25 | 45 | 80 | 110 | 150 |
| 1 | 50 | 60 | 90 | 120 | 180 |
| 2 | 100 | 125 | 160 | 210 | 265 |
| 3 | 160 | 190 | 225 | 275 | 340 |
| 4 | 230 | 270 | 325 | 385 | 450 |
| 5 | 300 | 360 | 420 | 480 | 600 |
| 6 or more | 425 | 500 | 600 | 700 | 875 |
Examples:
Write an application that:
Please submit:
(1) all source code (.java files)
(2) screenshots showing all programs in action (image files)
In: Computer Science
In: Finance
In: Finance
Consider the following data for two variables, and .
| x | 8 | 27 | 21 | 16 | 22 |
| y | 8 | 30 | 23 | 12 | 26 |
a. Develop an estimated regression equation for the data of the form y=b0+b1x . Comment on the adequacy of this equation for predicting . Enter negative value as negative number.
| The regression equation is | ||||||||||||||||||||||||
| Y=_______+_______ (to 2 decimals) | ||||||||||||||||||||||||
|
||||||||||||||||||||||||
| Analysis of Variance | ||||||||||||||||||||||||
|
Using a .05 significance level, the p-value indicates a - Select your answer -weak relationship strong relationship no relationship ; note that (to 1 decimal) of the variability in has been explained by .
b. Develop an estimated regression equation for the data of the form y=b0+b1x+b2x^2. Comment on the adequacy of this equation for predicting y . Enter negative value as negative number. If your answer is zero, enter "0".
| The regression equation is | ||||||||||||||||||||||||
| Y=______+_____x+______x^2 (to 2 decimals) | ||||||||||||||||||||||||
|
||||||||||||||||||||||||
| Analysis of Variance | ||||||||||||||||||||||||
|
At the .05 level of significance, the relationship - Select your answer -is/ is not significant; note that (to 1 decimal) of the variability in has been explained by .
c.Using the appropriate regression model, predict the value of y when x=17 .
(to 2 decimals)
In: Statistics and Probability
2) A utility date presented here under contained a cost pf electricity (in $) during July 2014 for a random sample of 50 one-bedroom apartments in large city. 96 171 202 178 147 102 153 197 127 82 157 185 90 116 172 111 148 213 130 165 141 149 206 175 123 128 144 168 109 167 95 163 150 154 130 143 187 166 139 149 108 119 183 151 114 135 191 137 129 158
a) Construct a frequency distribution and percentage distribution that have class intervals with upper class boundaries $99, $199 and so on.
b) Construct a cumulative percentage distribution. c) Around what amount does the monthly electricity cost seem to be concentrated?
d) Draw a histogram e) Make a conclusion remark.
In: Statistics and Probability
2) A utility date presented here under contained a cost pf electricity (in $) during July 2014 for a random sample of 50 one-bedroom apartments in large city. 96 171 202 178 147 102 153 197 127 82 157 185 90 116 172 111 148 213 130 165 141 149 206 175 123 128 144 168 109 167 95 163 150 154 130 143 187 166 139 149 108 119 183 151 114 135 191 137 129 158
a) Construct a frequency distribution and percentage distribution that have class intervals with upper class boundaries $99, $199 and so on.
b) Construct a cumulative percentage distribution. c) Around what amount does the monthly electricity cost seem to be concentrated?
d) Draw a histogram e) Make a conclusion remark.
In: Statistics and Probability
Use the Law of Cosines to solve the triangle. (Let a = 11.9 ft and c = 12.1 ft. Round your answer for b to two decimal places. Round your answers for A and C to the nearest minute.)
one angle is 50 degrees, 30'
In: Math