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nevsk [136]
3 years ago
13

Bob drove 120 miles on his vacation. He drove an average of 1.2 times faster on the second 60 miles of his trip than he did on t

he first 60 miles of his trip. Which expression represents the time he spent driving? Let x = his speed on the first half of the trip.
Mathematics
2 answers:
marusya05 [52]3 years ago
5 0
V = x ( his speed on the first half of the trip )
1.2 v = 1.2 x ( his speed on the second half of the trip )
t = d / v
t = 60 / x + 60 / 1.2 x = 60/ x + 50 / x = 110 / x
Answer: A ) 110 / x
katrin [286]3 years ago
5 0

Answer:

\frac{110}{x}

Step-by-step explanation:

Given,

Total distance = 120 miles,

Here x represents Bob's speed on the first half of the trip( 60 miles ).

Time=\frac{Distance}{Speed}

So, the time taken in first half = \frac{60}{x}

Now, He drove an average of 1.2 times faster on the second half than first half,

⇒ His speed in second half = 1.2 x,

So, the time taken in second half = \frac{60}{1.2x}

Hence, the total time taken by him = the time taken in first half + the time taken in second half

=\frac{60}{x}+\frac{60}{1.2x}

=\frac{72+60}{1.2x}

=\frac{132}{1.2x}

=\frac{1320}{12x}

=\frac{110}{x}

Which is the required expression.

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What is the equation of the best-fitting regression line? Find this in two ways. First, using the regression analysis part of th
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Step-by-step explanation:

Regression analysis is used to infer about the relationship between two or more variables.

The line of best fit is a straight line representing the regression equation on a scatter plot. The may pass through either some point or all points or none of the points.

<u>Method 1:</u>

Using regression analysis the line of best fit is: y=\alpha +\beta x+e

Here <em>α </em>= intercept, <em>β</em> = slope and <em>e</em> = error.

The formula to compute the intercept is:

\alpha =\bar y-\beta \bar x

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The formula to compute the slope is:

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And the formula to compute the error is:

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<u>Method 2:</u>

The regression line can be determined using the descriptive statistics mean, standard deviation and correlation.

The equation of the line of best fit is:

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Here <em>r</em> = correlation coefficient = r=\frac{Cov (x,y)}{\sqrt{\sigma^{2}_{x}\sigma^{2}_{y}} }

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Answer:

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Step-by-step explanation:

We have the standard deviation for the sample, which means that the t-distribution is used to solve this question.

T interval

The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So

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The lower end of the interval is the sample mean subtracted by M. So it is 47000 - 3181 = $43,819

The upper end of the interval is the sample mean added to M. So it is 47000 + 3181 = $50,181

The 90% confidence interval for the average bonus that all employees working for financial companies in New York City received last year is between $43,819 and $50,181

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Answer:

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