Answer:
1) 18
2) Tuesday, Thursday, Saturday
3) Weeks 2 and 4
Answer:
Idk if this is an option but 0.7-1.8h
Step-by-step explanation:
In this equation, to simplify, you can add like terms. You would do 2.1-1.4 and (-3.7h)+1.9h. When you do the math, you get 0.7-1.8h. Always look out for like terms! Hope this Helps!
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:
47.84%
Step-by-step explanation:
The easiest method to solve this exercise is to assume that the starting diesel price is 100 reais.
Now we will calculate each increase with our assumption:
1. Initial price plus 10% increase, therefore:
100 + 100 * 0.1 = 110 reais
2. Additional 20% increase in relation to 110 reais:
110 + 110 * 0.2 = 132 reais
3. Additional 12% increase in relation to 132 reais:
132 + 132 * 0.12 = 147.84 reais.
What it means is that the price would be 147.84 reais.
Since our assumption is 100, we can know that there was an increase of almost 47.84% in relation to the initial price that we assumed at the beginning.