the following equations were estimated: price) = 11.71 – 1.043 log(nox), n = 506, R? %3D price) = 9.23 – .718 log(nox) + .306 rooms, n = 506, R² = .514. ween the simple and multiple regression estimates of the elas vould have predicted, given your answer in part (a)? Does thi

Cathy makes a single deposit into an account earning 2.5% compounded monthly. After five years the account contains $3057.46.how much did she deposit?

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were: y=ax+b a=-0.722 b=21.301 r2=0.381924 r=-0.618 Use this to predict the number of situps a person who watches 2 hours of TV can do (to one decimal place)

Fifty matched pairs of magnitude/depth measurements randomly selected from 10,594 earthquakes recorded in one year from a location in southern California. Find the best predicted depth of an earthquake with a magnitude of 0.7. Use a significance level of 0.05.

The prices of Rawlston, Inc. stock (y) over a period of 12 days, the number of shares (in 100s) of the company's stocks sold (x1), and the volume of exchange (in millions) on the New York Stock Exchange (x2) are shown below.   1. Use Excel and write an equation that can be used to predict the price of the stock. 2. Interpret the coefficients of the estimated regression equation that you found in part (1). 3. Perform a t test and determine whether independent variable and dependent variable are related. Fully interpret the meaning. Use α = .05. 4. Perform an F test and determine whether independent variable and dependent variable are related. Fully interpret the meaning. Use α = .05 5. Conduct Residual Analysis and fully interpret the meaning. 6. If on a given day, the number of shares of the company that were sold was 94,500 and the volume of exchange on the New York Stock Exchange was 10 million, what would you expect the price of the stock to be? 7. Submit Excel document with steps…

Data was recorded for the temperature, in degrees Celsius, of a cup of coffee over a 30-minute period. Given the regression equation, In(Temp) = 4.20 0.023(Time), what is the predicted temperature after 3 minutes? 33.45 °C 62.24 °C 65.17 °C 66.69 °C

You determined there was a positive correlation between the number of study hours a week a student spends studying and their overall grade at the end of the semester. You determined the regression equation: = 1.806x+40, where x is the number of hours a student spends studying each week. What would be the predicted overall test score for a student who studies 14 hours a week? Round your answer to 3 decimal places if needed. 9 Σ Th

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: ŷ = a + bx a = 36.694 b = 0.874 R = = 0.923521 a) Use this to predict the number of situps a person who watches 0.5 hours of TV can e do (to 3 decimal places) b) What is the value of the correlation coefficient (to 3 decimal places) ? Priv Terr ост 21 MacBook Pro esc F1 F2 F3 F4 F5

A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y). The results of the regression were: y=ax+b a=5.865 b=25.06 r²=0.81 r=0.9 Use this to predict the final exam score of a student who studies 4.5 hours per week, and please round your answer to a whole number.

A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam Scores (y). The results of the regression were: y=ax+b a=6.179 b=28.96 r²=0.937024 r=0.968 Use this to predict the final exam score of a student who studies 4 hours per week, and please round your answer to a whole number.