Using the data from 15 automobile accidents, the correlation coefficient between the combined speeds of the...

Using the data from 15 automobile accidents, the correlation coefficient between the combined speeds of the cars (x) in an accident and the amount of damage done (y) is 0.7831. The regression equation for the two variables is y = 801.518 + 162.845x.

a. Is this a significant correlation?

b. If the answer to last part is YES, then predict the amount of damage done in an accident in which the combined speeds of the car involved was 100 mph.

Expert Solution

orchestra answered 1 year ago

You are shown the following data. If the correlation coefficient between the combined portfolio of A+B...

You are shown the following data. If the correlation coefficient between the combined portfolio of A+B and C is 0.2, what would happen to the overall volatility of the new portfolio if we invested 50% in A+B and the remaining 50% in C? You could potentially avoid computations. Stocks Volatility % Portfolio invested Average Return A and B 27 50 15 C 32 50 18 Volatility will lie somewhere between 32% and 40%. Volatility will lie somewhere between 27% and...

Define correlation coefficient. Describe in your own words the difference between correlation coefficient and coefficient of...

Define correlation coefficient. Describe in your own words the difference between correlation coefficient and coefficient of determination.

6. What is the difference between the correlation coefficient and ?2? Why should the correlation coefficient...

6. What is the difference between the correlation coefficient and ?2? Why should the correlation coefficient be -1 and 1? 7. What is the utility of marginal effects in regression models? How are they obtained? 8. What is heterocedasticity and homocedasticity? Explain how to detect and correct the first.

Using the data below find the linear correlation coefficient. x y xy

Using the data below find the linear correlation coefficient. x y xy x2 y2 3 4 12 9 16 4 6 24 16 36 5 7 35 25 49 7 12 84 49 144 8 14 112 64 196 ___________________________________________ 27 43 267 163 441 Also, utilizing the above data, find the slope and intercept.

In a study of the role of young drivers in automobile accidents, data on percentage of...

In a study of the role of young drivers in automobile accidents, data on percentage of licensed drivers under the age of 21 and the number of fatal accidents per 1000 licenses were determined for 32 cities. The data are stored in Table B. The first column contains a number as the city code, the second column contains the percentage of drivers who are under 21, and the third column contains the number of fatal accidents per 1000 drivers. The...

In a study of the role of young drivers in automobile accidents, data on the percentage...

In a study of the role of young drivers in automobile accidents, data on the percentage of licensed drivers under the age of 21 and the number of fatal accidents per 1000 licenses were determined for 32 cities. The first column contains a number as city code, the second column contains the percentage of drivers who are under 21, and the third column contains the number of fatal accidents is dependent upon the proportion of licensed drivers that are under...

Conduct a Pearson correlation coefficient test (r) using the following data: A researcher is interested in...

Conduct a Pearson correlation coefficient test (r) using the following data: A researcher is interested in studying the relationship between team fandom and social perception. She asks participants how much they love the Los Angeles Dodgers and then asks another participant in the same study how cool they think that person is. The data is as follows, and is on an 11-point scale: Participant Fandom Perception A 10 11 B 1 1 C 9 10 D 10 10 E 5...

The correlation coefficient between GDP per capita and openness from 2003 to 2015 for Italy is...

The correlation coefficient between GDP per capita and openness from 2003 to 2015 for Italy is 0.534. The correlation coefficient between GDP per capita and openness from 2003 to 2015 for Sweden is 0.5927. Using the data above, explain in up to 200 words the relationship between openness and economic development for each of the two countries

Enter the data from the table below into Microsoft Excel and determine the linear correlation coefficient,...

Enter the data from the table below into Microsoft Excel and determine the linear correlation coefficient, R2 for time versus position. Then, calculate y/t and determine the linear correlation coefficient, R2 for time versus y/t. Write in the calculated values in the table below (use two decimal places). Time, t (s) Position, y (cm) Velocity, y/t (cm/s) 0/60 0.00 1/60 2.41 2/60 5.09 3/60 8.08 4/60 11.30 5/60 14.79 6/60 18.56 7/60 22.52 8/60 26.96 9/60 31.56 Determine the linear...

Part (a)Using the Experience and Income xlsx file, determine the sample correlation coefficient between the annual...

Part (a)Using the Experience and Income xlsx file, determine the sample correlation coefficient between the annual salary and the job market experience variables. Part (b)Interpret the sample correlation coefficient you found in part (a) Part (c)If we regressed income on experience, what share of the variation in income could be explained by the variation in experience? Explain how you found your answer. Individuals' Annual Salaries and Job Market Experience Annual Salary Years of Job Market Experience 83601 18 29736 47...

Question