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agasfer [191]
2 years ago
9

Create a residual plot for each model and select the true statement based on the residuals for each model. The residual plot for

model 2 has a non-random pattern and is a good fit for the data. The residual plot for model 1 has a random pattern and is a good fit for the data. The residual plot for model 2 has a random pattern and is a good fit for the data. The residual plot for model 1 has a non-random pattern and is a good fit for the data.
Mathematics
1 answer:
Kisachek [45]2 years ago
8 0
Im not entirely sure but, if you're on plato answer D is correct


model 1 has a random pattern and is fit for the data
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Answer:

C

Step-by-step explanation:

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y - b = m(x - a)

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m = \frac{y_{2}-y_{1}  }{x_{2}-x_{1}  }

with (x₁, y₁ ) = (0, 3) and (x₂, y₂ ) = (2, - 1) ← 2 points on the line

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Answer:

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Step-by-step explanation:

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In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

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This is 1 subtracted by the pvalue of Z when X = 75. So

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Z = \frac{75 - 75}{5}

Z = 0

Z = 0 has a pvalue of 0.5

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Step-by-step explanation:

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Step-by-step explanation:

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