Anyone know how to do this

What is the slope of line segment AB? where A is (-5,3) and B is (3,-3)

Salsk061 [2.6K]

Answer:

D) -3/4

Step-by-step explanation:

Slope is found by using

m= (y2-y1)/(x2-x1) hwere the points are (x1,y1) and (x2,y2)

= (-3-3)/(3--5)

= (-6)/(3+5)

= -6/8

=-3/4

6 0

4 years ago

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Olegator [25]

Answer: x=−0.208333

Step-by-step explanation:

hope that helps enjoy

3 0

3 years ago

a) LOOCV is not random because you fit all n possible models that leave out a single observation. k-fold CV is random because we

Daniel [21]

Answer:

1. Randomly divide the available set of observations into two

parts, a training set and a validation set or hold-out set.

2. Fit the model on the training set.

3. Use the resulting fitted model to predict the responses for the

observations in the validation set.

4. The resulting validation set error rate is typically assessed using

the MSE in the case of a quantitative response. This provides

an estimate of the test error rate.

5 0

4 years ago

For the hypothesis test H0: μ = 10 against H1: μ >10 and variance known, calculate the Pvalue for each of the following test

Basile [38]

Answer:

a) $p_v =P(Z>2.05)=1-P(z$

b) $p_v =P(Z>-1.84)=1-P(z$

c) $p_v =P(Z>0.4)=1-P(z$

Step-by-step explanation:

Some previous concepts

The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.

A z-test for one mean "is a hypothesis test that attempts to make a claim about the population mean(μ)".

The null hypothesis attempts "to show that no variation exists between variables or that a single variable is no different than its mean"

The alternative hypothesis "is the hypothesis used in hypothesis testing that is contrary to the null hypothesis"

Hypothesis

Null hypothesis: $\mu=10$

Alternative hypothesis: $\mu >10$

If the random variable is distributed like this: $X \sim N(\mu,\sigma)$

We assume that the variance is known so the correct test to apply here is the z test to compare means, the statistic is given by the following formula:

$z_o=\frac{\bar X -\mu}{\sigma}$

Since we have the values for the statistic already calculated we can calculate the p value using the following formulas:

Part a

$p_v =P(Z>2.05)=1-P(z$

And in order to find the answer using excel we can use the following code:

"=1-NORM.DIST(2.05,0,1,TRUE)"

Part b

$p_v =P(Z>-1.84)=1-P(z$

And in order to find the answer using excel we can use the following code:

"=1-NORM.DIST(-1.84,0,1,TRUE)"

Part c

$p_v =P(Z>0.4)=1-P(z$

And in order to find the answer using excel we can use the following code:

"=1-NORM.DIST(0.4,0,1,TRUE)"

Conclusions

If we use a reference value for the significance, let's say $\alpha=0.05$ . For part a the $p_v$ so then we can reject the null hypothesis at this significance level.