Answer:
Please the question do not correlate with the answer. i will give explanation just based on the question.
Step-by-step explanation:
Question: They found β (Beta) = −0.39 for foreign-language anxiety and 0.29 for academic achievement. what does this mean?
Answer: According to Onwuegbuzie et al 1999 in the multiple regression analysis to understand anxiety and learning foreign language This means that People who have lower levels of anxiety about learning a foreign language have higher levels of achievement in foreign language, from their results they were able to correlate this.
Question 2, though not stated but relates to the options given :The beta for the predictor variable of perceived scholastic competence was positive and statistically significant. Why couldn't you say that perceived scholastic competence improves foreign language achievement?
Answer---The temporal precedence is not established and there may be another variable that accounts for the relationship.----d
therefore, we cannot say perceived scholastic competence improves foreign knowledge because there may be other various contributing variables apart from scholastic competence that accounts for the relationship. Merely using scholastic competence to correlate foreign language achievement is still blurry.
Divide 80/3 which equals 26.6. So it take Courtney 26.6 minutes to walk 1 mile. Then divide 110/26.6 which equals 4.1.
Courtney walls 4.1 miles in 110 minutes.
- Slope-Intercept Form: y = mx + b, with m = slope and (0,b) as the y-intercept.
So starting with the y-intercept, the easiest method to find it is to convert this standard form equation to slope-intercept form. Firstly, add 5x to both sides:
Next, divide both sides by -4 and your slope-intercept form is 
Looking at this slope-intercept form, <u>the y-intercept is (0, -5/2).</u>
Now to find the x-intercept, just set the y-variable to zero and solve:
<u>Our x-intercept is (-2,0).</u>
We know that the number of users triple each day
Let number of users on day 1 be x
⇒ Users on day 2 = 
= 3x
and Users on day 3 = 
= 9x
And so on...
% Increase in users from day 1 to day 2 = 
⇒ % Increase in users from day 1 to day 2 = 
⇒ % Increase in users from day 1 to day 2 = 
⇒ % Increase in users from day 1 to day 2 = 200%
Similarly,
% Increase in users from day 2 to day 3 = 
⇒ % Increase in users from day 2 to day 3 = 
⇒ % Increase in users from day 2 to day 3 = 
⇒ % Increase in users from day 2 to day 3 = 200%
Hence, we can see that the percentage increase each day is 200%
Answer:
30-6q
Step-by-step explanation:
6*5-6*q
30-6q
