Homework Answers
Q1. The correlation coefficient is only calculated when both the variables i.e. X and Y share a linear relationship. In the given scatterplot we can observe that for the first half of the parabolic curve i.e. till X=0, the relationship is the opposite of what is after X=0. The slope of the best fit line changes from downward sloping to upward sloping. Hence due to its parabolic nature, we cannot deduce anything significant pattern from the scatterplot between X and Y. So the correlation coefficient is 0.
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1 Seatterplot The following terpet shows a relationship between and y that was in...
front and bakc page DUUNIO ISI 1 Scatterplot The following scatterplot shows a relationship between x...
front and bakc page
DUUNIO ISI 1 Scatterplot The following scatterplot shows a relationship between x and y that results in a correlation coefficient of r=0. Explain why 0 in this situation even though there appears to be strong relationship between the x and y Variables Scatterplot of ysx 2 Multiple Choice All but one of the statements below contain a mistake. Which one could be true? a) If the correlation between blood alcohol level and reaction time is 0.73,...
Chart-3 below shows the relationship between amount of rainfall and temperature Chart-3 14 13 y=-1.0045x +14.785...
Chart-3 below shows the relationship between amount of rainfall and temperature Chart-3 14 13 y=-1.0045x +14.785 12 R2=0.8272 11 10 9 7 5 4 3 2 1 1 23 5 8 9 10 11 12 13 14 6 7 Amount of rainfall (in mm) The correlation coefficient is 0.6843 -0.6843 0.9095 -0.9095 Temperature (in C) en
Chart-3 below shows the relationship between amount of rainfall and temperature Chart-3 14 13 y=-1.0045x +14.785 12 R2=0.8272 11 10 9 7 5 4...
1. The following table are a random sample of 8 homes, shows the relationship between kilowatt-hours...
1. The following table are a random sample of 8 homes, shows the relationship between kilowatt-hours (thousands) used and the number of rooms in a private single-family residences. Homes Number of KWh (thousands) a) Compute the correlation coefficient b) Can we conclude that there is a positive association betwen KWh and number of in all private single-family residences? Use th 0.05 significance level. rooms c Develop the regression equation for electricity used(Wh) based d) Determine the coefficient of determination. e)...
14. Multiple Choice Variables x and y have a correlation coefficient of r = 0.89. Which...
14. Multiple Choice Variables x and y have a correlation coefficient of r = 0.89. Which statement is best? a. There is a strong positive association between x and y and a straight line fit to the data cannot be substantially improved by fitting a curve to the data. b. There is a strong positive association between x and y and a straight line fit to the data can certainly be substantially improved by fitting a curve to the data....
3. The following accompanying table shows the relationship between the speed of a computer's CPU and...
3. The following accompanying table shows the relationship between the speed of a computer's CPU and its benefits and costs. Assume that all other features of the computer are the same (that is, CPU speed is the only source of variation), and only the CPU speeds listed below are available for purchase. CPU GHz Total Benefit Marginal Benefit Total Cost Marginal Costs 2.0 $1,000 $900 2.5 $1,400 $100 3.0 $300 $1,200 3.5 $1,900 $1,500 4.0 $2,000 $400 The total benefit...
Can anyone help me solve the following Accounting Theory questions. 1. Relationship between earnings announcement and...
Can anyone help me solve the following Accounting Theory questions. 1. Relationship between earnings announcement and share price movement is inversely related to the company’s size. Discuss why. 2. What are some of the arguments for historic cost accounting?
BBA 403 TEST 3: Name: Score:_ SOLVE AND THOROUGHLY INTERPRET YOUR ANSWER 1. A marketing manager conducted a study to determine whether there is a linear relationship between many spent on adverti...
BBA 403 TEST 3: Name: Score:_ SOLVE AND THOROUGHLY INTERPRET YOUR ANSWER 1. A marketing manager conducted a study to determine whether there is a linear relationship between many spent on advertising and company sales. The data are shown on the table below. Display the data in a scatter plot, calculate the correlation coefficient, state a conclusion, and interpret the result Adverstising Company Expense, (1000s of s) (1000s of ) 2.4 16 2.0 26 14 1.6 2.0 2.2 184 220...
1. A sociologist examines the relationship between the poverty rate and several socioeconomic factors. For the...
1. A sociologist examines the relationship between the poverty rate and several socioeconomic factors. For the 50 states and the District of Columbia (n = 51), he collects data on the poverty rate (y, in %), the percent of the population with at least a high school education (x1), median income (x2, in $1000s), and the mortality rate per 1,000 residents (x3). He estimates the following model as y = β0 + β1 Education + β2 Income + β3 Mortality...
1. 2. 3. 4. 5. 6. 7. Shawna reads a scatterplot that displays the relationship between...
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Shawna reads a scatterplot that displays the relationship between the number of cars owned per household and the average number of citizens who have health insurance in neighborhoods across the country. The plot shows a strong positive correlation. Shawna recalls that correlation does not imply causation. In this example, Shawna sees that increasing the number of cars per household would not cause members of her community to purchase health insurance. Identify the lurking...
Use the following regression output from R studio and answer the following questions. 1. Comment on...
Use the following regression output from R studio and answer the
following questions.
1. Comment on the relation between the two test marks.
A. There appears to be no linear relation between the
two test marks
B. There appears to be strong negative linear relation between the
two test marks.
C. There appears to be weak positive linear relation between the
two test marks.
D. There appears to be strong positive linear relation
between the two test marks.
2. If the linear...
front and bakc page
DUUNIO ISI 1 Scatterplot The following scatterplot shows a relationship between x and y that results in a correlation coefficient of r=0. Explain why 0 in this situation even though there appears to be strong relationship between the x and y Variables Scatterplot of ysx 2 Multiple Choice All but one of the statements below contain a mistake. Which one could be true? a) If the correlation between blood alcohol level and reaction time is 0.73,...
Chart-3 below shows the relationship between amount of rainfall and temperature Chart-3 14 13 y=-1.0045x +14.785 12 R2=0.8272 11 10 9 7 5 4 3 2 1 1 23 5 8 9 10 11 12 13 14 6 7 Amount of rainfall (in mm) The correlation coefficient is 0.6843 -0.6843 0.9095 -0.9095 Temperature (in C) en
Chart-3 below shows the relationship between amount of rainfall and temperature Chart-3 14 13 y=-1.0045x +14.785 12 R2=0.8272 11 10 9 7 5 4...
1. The following table are a random sample of 8 homes, shows the relationship between kilowatt-hours (thousands) used and the number of rooms in a private single-family residences. Homes Number of KWh (thousands) a) Compute the correlation coefficient b) Can we conclude that there is a positive association betwen KWh and number of in all private single-family residences? Use th 0.05 significance level. rooms c Develop the regression equation for electricity used(Wh) based d) Determine the coefficient of determination. e)...
14. Multiple Choice Variables x and y have a correlation coefficient of r = 0.89. Which statement is best? a. There is a strong positive association between x and y and a straight line fit to the data cannot be substantially improved by fitting a curve to the data. b. There is a strong positive association between x and y and a straight line fit to the data can certainly be substantially improved by fitting a curve to the data....
BBA 403 TEST 3: Name: Score:_ SOLVE AND THOROUGHLY INTERPRET YOUR ANSWER 1. A marketing manager conducted a study to determine whether there is a linear relationship between many spent on advertising and company sales. The data are shown on the table below. Display the data in a scatter plot, calculate the correlation coefficient, state a conclusion, and interpret the result Adverstising Company Expense, (1000s of s) (1000s of ) 2.4 16 2.0 26 14 1.6 2.0 2.2 184 220...
1.
2.
3.
4.
5.
6.
7.
Shawna reads a scatterplot that displays the relationship between the number of cars owned per household and the average number of citizens who have health insurance in neighborhoods across the country. The plot shows a strong positive correlation. Shawna recalls that correlation does not imply causation. In this example, Shawna sees that increasing the number of cars per household would not cause members of her community to purchase health insurance. Identify the lurking...
Use the following regression output from R studio and answer the
following questions.
1. Comment on the relation between the two test marks.
A. There appears to be no linear relation between the
two test marks
B. There appears to be strong negative linear relation between the
two test marks.
C. There appears to be weak positive linear relation between the
two test marks.
D. There appears to be strong positive linear relation
between the two test marks.
2. If the linear...
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