Answer:
It depends on what sides equal which measurement. But it could be true.
 
        
             
        
        
        
Answer:
a) 98.522
b) 0.881
c) The correlation coefficient and co-variance shows that there is positive association between marks and study time. The correlation coefficient suggest that there is strong positive association between marks and study time.
Step-by-step explanation:
a.
As the mentioned in the given instruction the co-variance is first computed in excel by using only add/Sum, subtract, multiply, divide functions.
Marks y	Time spent x	y-ybar	x-xbar	(y-ybar)(x-xbar)
77                    40	5.1         1.3	6.63
63                     42	-8.9            3.3	-29.37
79                     37	7.1            -1.7	-12.07
86                     47	14.1            8.3	117.03
51                    25	-20.9  -13.7	286.33
78                     44	6.1            5.3	32.33
83                      41	11.1            2.3	25.53
90                     48	18.1            9.3	168.33
65                     35	-6.9           -3.7	25.53
47                    28	-24.9	-10.7	266.43
![Covariance=\frac{sum[(y-ybar)(x-xbar)]}{n-1}](https://tex.z-dn.net/?f=Covariance%3D%5Cfrac%7Bsum%5B%28y-ybar%29%28x-xbar%29%5D%7D%7Bn-1%7D)
Co-variance=886.7/(10-1)
Co-variance=886.7/9
Co-variance=98.5222
The co-variance computed using excel function COVARIANCE.S(B1:B11,A1:A11) where B1:B11 contains Time x column and A1:A11 contains Marks y column. The resulted co-variance is 98.52222.
b)
The correlation coefficient is computed as
![Correlation coefficient=r=\frac{sum[(y-ybar)(x-xbar)]}{\sqrt{sum[(x-xbar)]^2sum[(y-ybar)]^2} }](https://tex.z-dn.net/?f=Correlation%20coefficient%3Dr%3D%5Cfrac%7Bsum%5B%28y-ybar%29%28x-xbar%29%5D%7D%7B%5Csqrt%7Bsum%5B%28x-xbar%29%5D%5E2sum%5B%28y-ybar%29%5D%5E2%7D%20%7D)
(y-ybar)^2	(x-xbar)^2
26.01        1.69
79.21       10.89
50.41             2.89
198.81       68.89
436.81       187.69
37.21       28.09
123.21        5.29
327.61        86.49
47.61         13.69
620.01         114.49
sum(y-ybar)^2=1946.9
sum(x-xbar)^2=520.1




The correlation coefficient computed using excel function CORREL(A1:A11,B1:B11) where B1:B11 contains Time x column and A1:A11 contains Marks y column. The resulted correlation coefficient is 0.881. 
c)
The correlation coefficient and co-variance shows that there is positive association between marks and study time. The correlation coefficient suggest that there is strong positive association between marks and study time. It means that as the study time increases the marks of student also increases and if the study time decreases the marks of student also decreases.
The excel file is attached on which all the related work is done.
 
        
             
        
        
        
Answer:
Step-by-step explanation:
Q1: (x-1) * (x+1) * (x-2) * (x+2)
Q2: x'1 = -1/3, x'2 =2
Q3: i dont get this one sry
 
        
             
        
        
        
Answer:
its 1
Step-by-step explanation:
got it right o the test
 
        
             
        
        
        
P-125 is the answer i believe you are looking for. Since p is the original amount of the mountain bike, and the question says the price was reduced by $125, this means that $125 was subtracted from p, the original price. Therefore, p-125.