The corresponding z score for speed of 62 mph, 47 mph, and 56 mph is 1.5, -2.25 and 0 respectively.
<h3>
Z score</h3>
Z score is used to determine by how many standard deviations the raw score is above or below the mean. It is given by:

Where x is raw score, μ is mean, σ is standard deviation
Given that:
σ = 4, μ = 56, hence
for x = 62:

for x = 47:

for x = 56:

The corresponding z score for speed of 62 mph, 47 mph, and 56 mph is 1.5, -2.25 and 0 respectively.
Find out more on Z score at: brainly.com/question/25638875
Answer:
Step-by-step explanation:
The length of AB = 1 unit.
area of square = 1² unit² = 1 square unit.
<em>Here's</em><em> </em><em>my</em><em> </em><em>working</em><em> </em><em>for</em><em> </em><em>1</em><em>)</em><em> </em><em>You</em><em> </em><em>need</em><em> </em><em>to</em><em> </em><em>find</em><em> </em><em>the</em><em> </em><em>exterior</em><em> </em><em>angle</em><em>,</em><em> </em><em>then</em><em> </em><em>divide</em><em> </em><em>by</em><em> </em><em>360</em><em> </em><em>to</em><em> </em><em>find</em><em> </em><em>the</em><em> </em><em>number</em><em> </em><em>of</em><em> </em><em>sides</em><em>:</em>
<em>Applying</em><em> </em><em>these</em><em> </em><em>steps</em><em> </em><em>:</em><em> </em>
180 (Interior Angles) - 162 = 18 (Exterior angle)
360 ÷ 18 is<em> </em><em>20</em><em> </em><em>sides</em><em> </em>
<em>For</em><em> </em><em>2</em><em>)</em>
<em>Its</em><em> </em><em>the</em><em> </em><em>same</em><em> </em><em>method</em><em>,</em><em> </em><em>so</em><em> </em><em>apply</em><em> </em><em>the</em><em> </em><em>steps</em><em>:</em>
<em>180</em><em> </em><em>-</em><em> </em><em>175</em><em> </em><em>=</em><em> </em><em>5</em>
<em>360</em><em> </em><em>÷</em><em> </em><em>5</em><em> </em><em>=</em><em> </em><em>72</em><em> </em><em>sides</em><em> </em>
<em>Hope</em><em> </em><em>it</em><em> </em><em>helps</em><em>!</em><em> </em><em>:</em><em>)</em><em> </em>
Answer:
E IS THE CORRECT ANSWER
The R-squared is 0.64 and it means that the dependent value explains 64% of the independent value in the simple regression analysis
Step-by-step explanation:
R-Squared value is a very important indicator in a regression analysis.
What does it measure?
It measures how close to the line of best fit are the data points. How good the fitted line is can be indicated by the value of the r-squared.
The maximum value it can take is 1 and at this value, there is a direct and complete relationship between the independent variable x and the dependent variable y. The value 1 represents an 100% relationship between both parties.
The r-squared has a value of between 0 and 100%. The closer to 100, the better the model while the closer to 100, the more faulty the model is. In fact, a value of 0 indicates no relationship at all between the dependent and the independent variable.
With an R-squared value of 0.64, the regression model works above average to explain that the dependent variable explains 64% of the independent value in the simple regression analysis.
Step-by-step explanation:
<h3>It's
False</h3>
Because (-5+ 1, - 2 + 6) = (- 4, 4) which is not equal to (-4, - 4).