We have two equations that were solved by Nikki and Jonathon:
Equating the above two:
⇒ 1.3x + 1.6 = -2.7x + 3.2
⇒ 4x = 1.6
⇒ x = 0.4
Hence, substituting the value of x in one of the equations we get:
y = 1.3×0.4 + 1.6 = 2.12
So the solution is (0.4, 2.12)
Jonathon's solution was (0.4, 2.12) and Nikki's was (2.25, 0.5). Hence Jonathon gave the correct solution.
Answer:
$1.00
Step-by-step explanation:
Total Budget = $35
Cake Spent = $18
Remaining Money = 35 - 18 = $17
Since, each balloon is worth $4, to find how many balloons he will get with remaining money ($17), we divide the the remaining money by price of each balloon:
17/4 = 4.25
We can't have fractional balloons, so Abit can get 4 balloons, MAXIMUM.
4 balloons cost = $4 per balloon * 4 = $16
So, from $17 if he spends $16 for balloons, he will have left:
$17 - $16 = $1.00
Answer:
The answer is "domain and range are different".
Step-by-step explanation:
Given:

Solve f(x) to find domain and range:
for element x: R:
⇒
range:


Solve for domain:
⇒
Solve for range:
⇒
R : 
So, the value of the method f(x) and g(x) (range and domain) were different.
Answer:
Step-by-step explanation:
Hello!
Given the linear regression of Y: "Annual salary" as a function of X: "Mean score on teaching evaluation" of a population of university professors. It is desired to study whether student evaluations are related to salaries.
The population equation line is
E(Y)= β₀ + β₁X
Using the information of a n= 100 sample, the following data was calculated:
R²= 0.23
Coefficient Standard Error
Intercept 25675.5 11393
x 5321 2119
The estimated equation is
^Y= 25675.5 + 5321X
Now if the interest is to test if the teaching evaluation affects the proffesor's annual salary, the hypotheses are:
H₀: β = 0
H₁: β ≠ 0
There are two statistic you can use to make this test, a Student's t or an ANOVA F.
Since you have information about the estimation of β you can calculate the two tailed t test using the formula:
~
= 25.1109
The p-value is two-tailed, and is the probability of getting a value as extreme as the calculated
under the distribution 
p-value < 0.00001
I hope it helps!
Answer:
193650
Step-by-step explanation:
Since the cost must be no more than 387$, you can substitute that number instead of y to get 387 = 0.002x - 0.30. you can add 0.30 to both sides to get 387.3 = 0.002x
Then you can divide both sides by 0.002 to get 387.3/0.002 = 193650