Answer:
the unit rate for it would be 1/4
The anwser to the problem is C.
Answer and Step-by-step explanation: Scaterplot is a type of graphic which shows the relationship between to variables. In this question, you want to determine if there is a linear relationship between overhead widths of seals and the weights. So, the hypothesis are:
H₀: no linear correlation;
H₁: there is linear correlation;
In this hypothesis test, to reject H₀, the correlation coefficient r of the data set has to be bigger than the critical value from the table.
With α = 0.05 and n = 6, the critical value is 0.811.
The linear correlation is calculated as:
r = n∑xy - ∑x.∑y / √[n∑x² - (∑x)²] [n∑y² - (∑y)²]
r = 
r = 0.9485
Since r is bigger than the critical value, H₀ is rejected, which means there is enough evidence to conclude that there is linear correlation between overhead widths and the weights.
In the attachments is the scaterplot of the measurements, also showing the relationship.
9514 1404 393
Answer:
Step-by-step explanation:
Let x represent the amount invested at 14%. Then 5000-x is the amount invested at 9%. The interest earned is ...
(14%)x +(9%)(5000 -x) = 460
0.05x +450 = 460 . . . . . . . . . . simplify
0.05x = 10 . . . . . . . . . . . . . . subtract 450
x = 200 . . . . . . . . . . . . . . divide by 0.05
5000-x = 5000-200 = 4800
$200 was invested at 14%; $4800 was invested at 9%.
19, 13
is the two blank answer due to the fact it's minus six each number