Help, I’m in 6th grade I need help with this. I got the first one wrong and I can’t worth to lose the second part because it’s g
unna mark it on my grades, plus it’s only 9 questions, and u can’t redo it but
Kevin is hiking on a trail that is 1.8 miles long. So far, he has hiked 80% of the total distance.
How many more miles does Kevin have to hike in order to complete the trail? Complete the explanation on how you found your answer.
Kevin has to hike 0.36 more miles in order to complete the trail.
Part 2 out of 2
Since Kevin has hiked 80% of the trail, he has 100% - 80% or ?%
So, 20% of 1.8 = ? × 1.8 = 0.36.
Kevin is hiking on a trail that is 1.8 miles long. So far, he has hiked 80% of the total distance.
How many more miles does Kevin have to hike in order to complete the trail? Complete the explanation on how you found your answer.
Kevin has to hike 0.36 more miles in order to complete the trail.
Part 2 out of 2
Since Kevin has hiked 80% of the trail, he has 100% - 80% or ?%
So, 20% of 1.8 = ? × 1.8 = 0.36.
2 answers:
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Answer:
(A)
(B) If a country increases its life expectancy, the happiness index will increase.
(C) If the life expectancy is increased by 3.5 years in a certain country, the happiness index will increase by 0.4165.
(D) If the life expectancy is 67 years in a certain country, the happiness index will be 7.21.
Step-by-step explanation:
A regression analysis was performed to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x).
The output of the regression analysis are as follows:
a = -0.762
b = 0.119
r² = 0.8649
r = 0.93
(A)
The equation of the Least Squares Regression line of the form y = _ + _ x is:
(B)
The correction between the variables happiness index (y) and life expectancy in years of a given country (x) is, 0.93.
The correlation coefficient is positive. This implies that there is a positive relation between the two variables, i.e. as the value of life expectancy in years increases the happiness index also increases.
Thus, if a country increases its life expectancy, the happiness index will increase.
(C)
Compute the value of y for x = x + 3.5 as follows:
Thus, if the life expectancy is increased by 3.5 years in a certain country, the happiness index will increase by 0.4165.
(D)
Compute the value of y for x = 67 as follows:
Thus, if the life expectancy is 67 years in a certain country, the happiness index will be 7.21.