Answer:
4n + 10
Step-by-step explanation:
Answer:
1380 households in Gettysburg are likely interested in using lawn care services
Step-by-step explanation:
To solve this question, we find the sample proportion and estimate for the entire population.
Sample proportion of households in Gettysburg that are likely to be interested in using lawn care services?
92 of 92 + 51 + 17 = 160 households.
92/160 = 0.575
Based on his results, how many households in Gettysburg are likely interested in using lawn care services?
Sample proportion of 0.575.
For the entire population of 2400 households:
0.575*2400 = 1380
1380 households in Gettysburg are likely interested in using lawn care services
First, part A is asking you for the association or correlation of the scatter plot based on the best fit line, or how strongly the scatter plot correlates to the best fit line. You have to find the correlation coefficient by using your graphing calculator for this (let me know if you need help with this). Then, if your correlation coefficient is positive and from 0.8 to 1, then there is a strong and positive correlation. If the correlation coefficient is positive and is from 0.4 to 0.7 (these are all approximate values), then the association is moderate and positive. The remaining range is for a weak and positive correlation. Everything is the same for a negative correlation coefficient, except for how the sign of the ranges and the correlation coefficient is negative.
I'm typing up how to do Part B now. :D
Answer:
7/19 in.
Step-by-step explanation:
Use a proportion. Let x equal the unknown model length.
model/real = (14 in.)/(38 ft) = x/(1 ft)
(14 in.)/(38 ft) = x/(1 ft)
Cross multiply.
38 ft * x = 1 ft * 14 in.
Divide both sides by ft.
38x = 14 in.
Divide both sides by 38.
x = (14 in.)/(38)
x = 7/19 in.
1/10 is the answer for this!
