Answer:
25.97!!!!
Step-by-step explanation:
I have no idea
I just need points for an answer sorry
A reciprocal is when you switch the numerator and denominator of a number. So, the answer is 5/-3
Answer:
15
Step-by-step explanation:
Step 1:
Start by setting it up with the divisor 2 on the left side and the dividend 30 on the right side like this:
2 ⟌ 3 0
Step 2:
The divisor (2) goes into the first digit of the dividend (3), 1 time(s). Therefore, put 1 on top:
1
2 ⟌ 3 0
Step 3:
Multiply the divisor by the result in the previous step (2 x 1 = 2) and write that answer below the dividend.
1
2 ⟌ 3 0
2
Step 4:
Subtract the result in the previous step from the first digit of the dividend (3 - 2 = 1) and write the answer below.
1
2 ⟌ 3 0
- 2
1
Step 5:
Move down the 2nd digit of the dividend (0) like this:
1
2 ⟌ 3 0
- 2
1 0
Step 6:
The divisor (2) goes into the bottom number (10), 5 time(s). Therefore, put 5 on top:
1 5
2 ⟌ 3 0
- 2
1 0
Step 7:
Multiply the divisor by the result in the previous step (2 x 5 = 10) and write that answer at the bottom:
1 5
2 ⟌ 3 0
- 2
1 0
1 0
Step 8:
Subtract the result in the previous step from the number written above it. (10 - 10 = 0) and write the answer at the bottom.
1 5
2 ⟌ 3 0
- 2
1 0
- 1 0
0
You are done, because there are no more digits to move down from the dividend.
The answer is the top number and the remainder is the bottom number.
Therefore, the answer to 30 divided by 2 calculated using Long Division is:
15
Answer:
The P value indicates that the probability of a linear correlation coefficient that is at least as extreme is 0.3% which is not significant (at α = 0.05), so there is insufficient evidence to conclude that there is a linear correlation between weight and consumption. of highway fuel in cars.
Step-by-step explanation:
We have that the correlation coefficient shows the relationship between the weights and amounts of road fuel consumption of seven types of car, now the P value establishes the importance of this relationship. If the p-value is lower than a significance level (for example, 0.05), then the relationship is said to be significant, otherwise it would not be so, this case being 0.003 not significant.
The statement would be the following:
The P value indicates that the probability of a linear correlation coefficient that is at least as extreme is 0.3% which is not significant (at α = 0.05), so there is insufficient evidence to conclude that there is a linear correlation between weight and consumption. of highway fuel in cars.
