What is the product of the polynomials below?<br> (3x^2 - 2x

In a statistics course, a linear regression equation was computed to predict the final-exam score from the score on the first te

Elanso [62]

Answer:

Predicted final score of Josh $= 62.5$

Step-by-step explanation:

The linear regression relationship has been established between the final-exam score and the score on the first test

The relation ship is represented by a linear equation -

$y = 10 + 0.75 x\\$

Where

$x=$ score on the first test

$Y=$ final-exam score

Substituting the value of $x$ in above equation we will get -

$Y = 10 + 0.75 * 70\\Y = 10 + 52.5\\Y = 62.5$

Predicted final score of Josh $= 62.5$

6 0

3 years ago

Most US adults have social ties with a large number of people, including friends, family, co-workers, and other acquaintances. I

xxTIMURxx [149]

Answer:

$t=\frac{669-634}{\frac{732}{\sqrt{1700}}}=1.971$

$p_v =2*P(t_{(1699)}>1.971)=0.049$

If we compare the p value and the significance level given $\alpha=0.1$ we see that $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 634 at 10% of signficance.

Step-by-step explanation:

Data given and notation

$\bar X=669$ represent the sample mean

$s=732$ represent the sample standard deviation

$n=1700$ sample size

$\mu_o =68$ represent the value that we want to test

$\alpha=0.$ represent the significance level for the hypothesis test.

t would represent the statistic (variable of interest)

$p_v$ represent the p value for the test (variable of interest)

State the null and alternative hypotheses.

We need to conduct a hypothesis in order to check if the mean is different from 634, the system of hypothesis would be:

Null hypothesis: $\mu = 634$

Alternative hypothesis: $\mu \neq 634$

If we analyze the size for the sample is > 30 but we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:

$t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}$ (1)

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".

Calculate the statistic

We can replace in formula (1) the info given like this:

$t=\frac{669-634}{\frac{732}{\sqrt{1700}}}=1.971$

P-value

The first step is calculate the degrees of freedom, on this case:

$df=n-1=1700-1=1699$

Since is a two sided test the p value would be:

$p_v =2*P(t_{(1699)}>1.971)=0.049$

Conclusion

If we compare the p value and the significance level given $\alpha=0.1$ we see that $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 634 at 10% of signficance.

3 0

2 years ago

Please answer this question:)

olga_2 [115]

Answer:

a or the first one

Step-by-step explanation:

built:Different

5 0

3 years ago

Read 2 more answers

You decide to work out your weekly pay by using the following formula: Weekly pay = dhr. d is number of days worked, h is hours