700 rotations
If the radius is 1 foot, the diameter is 2 feet (twice the radius). The circumference of a circle is pi times the radius. Using 22/7 as pi, the circumference of each tire is (22/7)*2 feet. That is the same as 44/7 feet.
If the car is going 4400 feet per minute, the tires will "rotate 4400 feet from the circumference" - if you know what I mean. The tire completes one rotation every 44/7 feet. So, in 4400 feet it will complete (4400)/(44/7) feet. That is equal to 4400*7/44. Put that in a calculator and you get: 700.
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Answer:
Step-by-step explanation:
The happiest used in a test in statistics are the null and the alternative hypothesis. The null hypothesis is usually the default statement while the alternative hypothesis is thevopposite of the null hypothesis.
In this case study, the null hypothesis is u1 = u2: the average mean time it takes to accelerate to 30 miles per hour for car 1 is the same as that for car 2.
The alternative hypothesis is u1 > u2: the mean time it takes to accelerate to 30 miles per hour is greater than that for car 2 thus car 1 is slower to accelerate as it takes more time.
-38(-3) = 114
-72/(-12) = 6
-9 x 23 = -207
-150/5 = -30
564 / -4 = -141
<h3><u>Solution:</u></h3>
Given that, we have to find each product or quotient
<em><u>-38(-3)</u></em>
It is a product, so we have to find product value

<em><u>-72 / (-12)</u></em>
It is division, so we have to find the quotient

<em><u>-9 x 23</u></em>
It is a product, so we have to find product value

<em><u>- 150 / 5</u></em>
It is division, so we have to find quotient

<em><u>564 / -4</u></em>
It is division, so we have to find the quotient

Answer: 49 feet to the third power
Step-by-step explanation:
1. 3.5 x 2= 7
2. 7 x 7= 49
Outliers can affect the slope of a line of best fit.
Step-by-step explanation:
Outliers are observed data points which are far from the least-squares line.They contain large errors.They occur as a result of incorrect data.Outliers have a big effect on the slope of a regression line.
Learn More
Outliers :brainly.com/question/11163452
Keywords: Outliers, effect, line of best fit, least squares method
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