Answer:
4. It should be less than coefficient on str in the first regression
Step-by-step explanation:
Since the str and income are positively correlated and the coefficient on income in the second regression is positive, the coefficient on str in the second regression therefore should be less than coefficient on str in the first regression.
Let the two parts with equal length have length x.
The longer part has length x + 20.
The sum of the three lengths is 695 m.
x + x + x + 20 = 695
3x + 20 = 695
3x = 675
x = 225
x + 20 = 245
The two short parts measure 225 m, and the long part measures 245 m.
Answer:

Step-by-step explanation:
Assuming this complete question:
"Suppose a certain species of fawns between 1 and 5 months old have a body weight that is approximately normally distributed with mean
kilograms and standard deviation
kilograms. Let x be the weight of a fawn in kilograms. Convert the following z interval to a x interval.
"
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:
Where
and 
And the best way to solve this problem is using the normal standard distribution and the z score given by:

We know that the Z scale and the normal distribution are equivalent since the Z scales is a linear transformation of the normal distribution.
We can convert the corresponding z score for x=42.6 like this:

So then the corresponding z scale would be:

Answer:
Simplify the expression. 4x - 3 + 8x - 5 - 3x
Step-by-step explanation:
Domain is all the x values represented
domain here is infinitely because it can go on forever to the left and to the right