Answer:
lets goooo
-4×2+3x=-2
you multiply -4 by 2 as shown in the question
so -4×2+3x=-2
-8+3x=-2
3x = -2+8
3x =6
you divide both sides by the x variable
3x =6
3x/3=6/3
x=3
Answer:
He will need to sleep 5.77 hours
Step-by-step explanation:
The first night, he slept 3 percent more than the previous night, meaning 5.28 + (5.28 x 3/100) = 5.28 + 0.1584 = 5.4384
The second night, he will need to sleep 3 percent more than the previous night, meaning 5.4384 + (5.4384 x 3/100) = 5.4384 + 0.163152 = 5.601552
The third night, he will need to sleep 3 percent more than the previous night, meaning 5.601552 + (5.601552 x 3/100) = 5.601552 + 0.16804656 = 5.76959856 = 5.77
Answer:
C
Step-by-step explanation:
We want to integrate:

Notice that the expression in the denominator is quite similar to the expression in the numerator. So, we can try performing u-substitution. Let u be the function in the denominator. So:

By differentiating both sides with respect to x:

We can "multiply" both sides by dx:

And divide both sides by 5:

Rewriting our original integral yields:

Substitute:

Simplify:

This is a common integral:

Back-substitute. Of course, we need the constant of integration:

Our answer is C.
Answer:
1.) scatter plot is attached below.
There is no sufficient evidence to support the claim that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals.
Step-by-step explanation:
Given the data :
Overhead width : 7.2 7.5 9.7 9.3 8.7 8.2
Weight : 119 156 243 200 199 188
The linear correlation Coefficient, R = 0.946
Using the Pvalue calculator for R score ;
Pvalue = 0.0149
Since, Pvalue > Α ; WE fail to reject the Null and conclude that there is no sufficient evidence to support the claim that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals.