The dimensions of Q are 5L and 5w.
The Area outside of P = AreaQ - AreaP
Area = length*width
The Area outside of P = (5w)(5L) - wL
= 25wL - wL
= 24 wL
Answer:
0.5
0.009
six-hundreths
5+0.6+0.07
0.6
0.3
Step-by-step explanation:
ANSWER:
I believe you wish to calculate the sum of squares total (SST) for this regression analysis. The sum of squares total is 1053.15
Step-by-step explanation:
The sum of squares total is numerically derived by adding the sum of squares regression (regression sum of squares) to the sum of squares error (error sum of squares). The regression sum of squares here is 752.25 and the error sum of squares is 300.9
This gives us a total sum of squares of 1053.15
Sums of squares tell if a linear regression of one variable (or variables) on another is good or not.
The squared differences between the observed dependent variable and its mean is a measure of the total variability of the data set.
So the SST is equal to 752.25 + 300.9 = 1053.15
Answer:
(30.09, 32.91)
Step-by-step explanation:
Mean number of pounds of trash = x = 31.5 pounds
Standard deviation = s = 7.8 pounds
Sample size = n = 120
Confidence level = 95%
Since, we are given the sample standard deviation instead of the population standard deviation, we will use t-test to find the confidence interval.
Degrees of freedom = df = n - 1 = 120 - 1 = 119
The t-value associated with 95% confidence interval and df=119 from the t-table comes out to be:
t = 1.98
The formula to calculate the confidence interval is:
Using the values in above expression we get:
Thus, the 95% confidence interval for the mean number of lbs of trash per person per week that is generated in the city is (30.09, 32.91)
Answer:
1/2
Step-by-step explanation:
1/3 + 1/6
LCM of 3 and 6 is 6.
therefore, multiple the fraction that doesn't have 6 as denominator with a fraction that makes the denominator equal to the LCM.
1/3 × 2/2 = 2/6
(we have used 2/2 because 3×2= 6)
so,
2/6+1/6 = 2+1/6
(2 + 1 whole divided by 6)
therefore we get,
3/6
on simplification,
3/6 = 1/2 = 0.5
hope it helps!!
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