A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of Size (measur
1 answer:
Answer:
a. The estimated coefficient for size is approximately
b The number of predictors are 2
Step-by-step explanation:
From the table we can see that
The standard error of size is
and the test statistics of size is
The estimated coefficient for size is evaluated as
=>
=>
The number of predictors are two and this include size and FP
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The way to find the area of a triangle is A=
if the base is 3 feet longer then the height we can write it like this B=H+3
now we can add it to our area equation
20=
20=
40=
+3H
10
=
h=3.2ft
if the base is 3 feet longer then the height we can write it like this B=H+3
now we can add it to our area equation
20=
20=
40=
10
h=3.2ft
Answer:
a)
And we can find this probability like this:
b)
And using the z score we got:
c)
And if we use the continuity correction we got:
Step-by-step explanation:
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".
Continuity correction means that we need to add and subtract 0.5 before standardizing the value specified.
Part a
Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:
Where and
Part a
For this case we want to find this probability:
And if we use the z score given by:
We got this:
And we can find this probability like this:
Part b
For this case we want this probability:
And if we use the continuity correction we got:
And using the z score we got:
Part c
For this case we want this probability:
And if we use the continuity correction we got: