Answer:
hello your question is incomplete below is the complete question
The Honda Accord was named the best midsized car for resale value for by the Kelley Blue Book (Kelley Blue Book website). The file AutoResale contains mileage, age, and selling price for a sample of 33 Honda Accords. Click on the datafile logo to reference the data. The estimated regression equation is Selling price = 20385.25049 - 0.03739 Mileage - 686.33668 age. Round your answers to the nearest dollar. a. Estimate the selling price of a four-year-old Honda Accord with mileage of 40,000 miles.
answer : ≈ $16144
Step-by-step explanation:
<u>Determine the selling price of a four-year-old Honda Accord with mileage of </u><u>40,000</u><u> miles.</u>
Given data :
Age= 4 year, Mileage=40,000 miles
Hence the selling price
= 20385.25049 - 0.03739 Mileage - 686.33668 age
= 20385.25049 - 0.03739(40,000) - 686.33668 ( 4 )
= $16144.32
The first five multiples of 9 are 9 18 27 36 45 I hope that's what you mean.
The prime factors of 9 and 12 are
9: 3 * 3
12: 3 * 2 * 2
The LCM is 3*3*2*2 is 36
The store sold 4 sets of cups ans 3 sets saucers. Answer
The formula of a volume of a cube:

We have 
Substitute:
![a^3=474.552\to a=\sqrt[3]{474.552}\\\\a=7.8\ m](https://tex.z-dn.net/?f=a%5E3%3D474.552%5Cto%20a%3D%5Csqrt%5B3%5D%7B474.552%7D%5C%5C%5C%5Ca%3D7.8%5C%20m)
Answer: The length of each side of the box is equal 7.8 m.
Measure 2 sides, then multiply them, and divide by 2.
Answer:
By the Central Limit Theorem, it is approximately normal with mean 650 and standard deviation 4.
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
Mean of 650 and a standard deviation of 24.
This means that
.
Sample of 36:
This means that 
What is the shape of the sampling distribution you would expect to produce?
By the Central Limit Theorem, it is approximately normal with mean 650 and standard deviation 4.