[Q*: Only answer if you ABSOLUTELY know how to solve AND the answers match up ((

Question

[Q*: Only answer if you ABSOLUTELY know how to solve AND the answers match up ((tired of getting wrong replies.) So, please make sure you’re really certain. [It’s appreciated.])

Really Explain EACH STEP, including any formulas you used (& how to use the formula), and explain how to compute with a TI-84 preferably/when possible.]

NO JUST POSTING THE ANSWER WITH NO EXPLANATION/ NO CONVINCING EXPLANATION, I WILL ASSUME IT'S WRONG, AS HAS BEEN THE CASE BEFORE. IF YOU'RE THIS TYPE, MOVE ON.

*<REPOSTED>:*

Question A

Question A options:

1)

2)

3)

4)

5)

When load increases by 0.07 pounds, lifetime increases by 1 month, holding all other variables constant.

Question B

A trucking company considered a multiple regression model for relating the dependent variable of total daily travel time for one of its drivers (hours) to the predictors distance traveled (miles) and the number of deliveries of made. After taking a random sample, a multiple regression was performed and the equation is (time) = 0.03*(distance) + 1.02*(deliveries) - 1.305. Suppose for a given driver's day, he is scheduled to drive 206.609 miles and make 13.27 stops. Suppose it took him 10.862 hours to complete the trip yielding a residual of 7.567. What is the best interpretation of this residual?

Question B options:

1)

2)

3)

4)

5)

The number of hours taken is 7.567 hours larger than what we would expect.

Question C

Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. A sample is taken and variables measured are age (years), time necessary to walk 1 mile (mins), and heart rate at the end of the walk (bpm) in addition to the VO2 max uptake. The equation from a multiple regression is (V02) = 0.094*(age) + 0.258*(HR) + 0.033*(time) + 6.922. If a person is 41.689 years old, has a heart rate of 136.451 bpm, a walking time of 12.609 minutes, and a maximum oxygen intake of 23.294 L/min, the residual would be -23.1672. What is the best interpretation of this residual?

Question C options:

1)

2)

3)

4)

5)

1)

When load increases by 1 pound, lifetime increases by 0.07 months, holding all other variables constant.

2)

When load increases by 1 pound, lifetime decreases by 0.07 months, holding all other variables constant.

3)

When load decreases by 1 pound, lifetime increases by 0.07 months, holding all other variables constant.

4)

We do not have enough information to say.

5)

When load increases by 0.07 pounds, lifetime increases by 1 month, holding all other variables constant.

Question B

A trucking company considered a multiple regression model for relating the dependent variable of total daily travel time for one of its drivers (hours) to the predictors distance traveled (miles) and the number of deliveries of made. After taking a random sample, a multiple regression was performed and the equation is (time) = 0.03*(distance) + 1.02*(deliveries) - 1.305. Suppose for a given driver's day, he is scheduled to drive 206.609 miles and make 13.27 stops. Suppose it took him 10.862 hours to complete the trip yielding a residual of 7.567. What is the best interpretation of this residual?

Question B options:

1)

The number of deliveries is 7.567 larger than what we would expect.

2)

The number of hours taken is 7.567 hours less than what we would expect.

3)

The number of hours taken is 10.862 hours larger than what we would expect.

4)

The number of deliveries is 7.567 less than what we would expect.

5)

The number of hours taken is 7.567 hours larger than what we would expect.

Question C

Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. A sample is taken and variables measured are age (years), time necessary to walk 1 mile (mins), and heart rate at the end of the walk (bpm) in addition to the VO2 max uptake. The equation from a multiple regression is (V02) = 0.094*(age) + 0.258*(HR) + 0.033*(time) + 6.922. If a person is 41.689 years old, has a heart rate of 136.451 bpm, a walking time of 12.609 minutes, and a maximum oxygen intake of 23.294 L/min, the residual would be -23.1672. What is the best interpretation of this residual?

Question C options:

1)

The max oxygen intake is 23.1672 L/min greater than what we would expect.

2)

The max oxygen intake is 23.294 L/min less than what we would expect.

3)

The heart rate is 23.1672 bpm less than what we would expect.

4)

The max oxygen intake is 23.1672 L/min less than what we would expect.

5)

The heart rate is 23.1672 bpm larger than what we would expect. Predictor Constant viscosity load Coef 82.074 6.957 0.07 Stdev 91.09 0.726 0.073 t-ratio 0.3853 5.643e-07 0.3582 9.59 0.96 s 20 . 89 R-sq 89.098 R-sq (adj ) 87.27% Analysis of Variance SOURCE Regression Error Total DE 2 12 42774.22 5236. 65 48010. 87 MS 21387.11 436.39 49.01

Explanation / Answer

Question A

Here we see that slope is 0.07

As per the interpretation of slope,

When load increases by 1 pound, lifetime increases by 0.07 months, holding all other variables constant..

hence A is correct answer.

When load increases by 1 pound, lifetime increases by 0.07 months, holding all other variables constant..

hence A is correct answer.

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