Tag: simple moving average

Questions Related to simple moving average

Consider the following statements: (1) If the correlation coefficient ${ r } _{ xy }=0$, then the two lines of regression are parallel to each other (2) If the correlation coefficient ${ r } _{ xy }=+1$, then the two lines of regression are perpendicular to each other? Which of the above statements is/are correct?

  1. 1 only

  2. 2 only

  3. Both 1 and 2

  4. Neither 1 nor 2


Correct Option: D
Explanation:
If $r = 0\implies$ lines do not have anything common and hence, lines of regression are perpendicular.
when $r = 1\implies$ then the lines superimpose one another and hence, lines of regression are parallel/co-incident. So, both statements are wrong.

Find the Value of $y$ from the following data when $x=70$ and coefficient of correlation $0.8$.

Series $x$ $y$
A.M $18$ $100$
Standard Deviation $14$ $20$
  1. $145.32$

  2. $44.23$

  3. $159.43$

  4. $561.12$


Correct Option: C
Explanation:

$\bar x=18$, $\bar y=100$, $\sigma_x=14$, $\sigma_y=20$ and $r=0.8$
Regression line of y on x will be $y-\bar y=r\dfrac{\sigma_y}{\sigma_x}(x-\bar x)$
Subsitute all the abpve value in an equation of regression line, we get
$y-100=\dfrac{0.8\times 20}{14}(x-18)$
$y-100=1.143(x-18)$
$y=1.143x+79.43$
Now, Subsitute the value of x=70, we get
$y=1.143\times 70+79.43=159.43$

Find the equation of $x$ on $y$ on the basis of the following data:

$x$ $2$ $4$ $6$ $8$ $10$
$y$ $6$ $5$ $4$ $3$ $2$
  1. $x+ 2y=14$

  2. $x-2y=14$

  3. $2x+ y=14$

  4. $2x- 2y=14$


Correct Option: A
Explanation:

Let the equation be $ax+by+c=0$


At $x=2 , y=6$
$\Rightarrow 2a+6b+c=0$

At $x=4, y=5$
$\Rightarrow 4a+5b+c=0$

At $x=6, y=4$
$\Rightarrow 6a+4b+c=0$

Solving these, we get
$a=1$
$b=$4
$c=-14$

$\therefore$ Equation is $x+2y=14$

If $4\bar {x}-5\bar y+33=0$ and $20\bar x-9\bar y=107$ are two lines of regression, then what are the values of $\bar { x } $ and $\bar { y } $ respectively.

  1. $12$ and $18$

  2. $18$ and $12$

  3. $13$ and $17$

  4. $17$ and $13$


Correct Option: C
Explanation:
The given equations are $4\overline{x} - 5\overline{y} + 33 = 0$ .... $(i)$ and $20\overline{x} - 9\overline{y} -107 = 0$ ..... $(ii)$
Solving $(i)$ and $(ii)$, we get
$\overline{x} = 13$ 
Substituting $x$ in $(i)$, we get
$\overline{y} =17$
Hence, the answer is $13$ and $17$.

For the variables $x$ and $y$, the regression equations are given as $7x-3y-18=0$ and $4x-y-11=0$. Identify the regression equation of $y$ on $x$.

  1. $4x-y-11=0$

  2. $7x-3y-18=0$

  3. $4x-y-2=0$

  4. $7x-3y-4=0$


Correct Option: B
Explanation:

Let us assume that $7x-3y-18=0$ is the regression equation of $y$ on $x$.


Consider $7x-3y-18=0$

$\Rightarrow y=-6+\dfrac{7}{3}x$ 

$\therefore b_{yx}=\dfrac{7}{3}$

Now consider $4x-y-11=0$

$\Rightarrow x=\dfrac{11}{4}+\dfrac{1}{4}y$

$\therefore b_{xy}=\dfrac{1}{4}$

Now taking the product, $b_{yx} \times b_{xy}=\dfrac{7}{3} \times \dfrac{1}{4}=\dfrac{7}{12}<1$

Since the product is less than one, our assumptions are correct.

Thus $7x-3y-18=0$ is the regression equation of $y$ on $x$.

What would be the estimated sale on the advertisement expenditure of Rs $15$ lakhs,on the basis of following data obtained from the company?.The coefficient of correlation is $0.8$.

Advertising expenditure(in Rs.lakhs) $x$ Sale (in Rs lakhs) $y$
Mean $20$ $90$
standard Deviation $5$ $12$
  1. Rs $105$ lakhs

  2. Rs$106$ lakhs

  3. Rs $110$ lakhs

  4. Rs $120$ lakhs


Correct Option: B
Explanation:

$\bar x=20$, $\bar y=90$, $\sigma_x=5$, $\sigma_y=12$ and $r=0.8$
Regression line of y on x will be $y-\bar y=r\dfrac{\sigma_y}{\sigma_x}(x-\bar x)$
Subsitute all the abpve value in an equation of regression line, we get
$y-90=\dfrac{0.8\times 12}{5}(x-20)$
$y-90=1.92(x-20)$
$y=1.92x+90-38.4$
Now, Subsitute the value of x=15, we get
$y=1.92\times 15+51.6=80.4$

Find the equation of $y$ on $x$ for the following data

$x$ $8$ $6$ $4$ $7$ $5$
$y$ $9$ $8$ $5$ $6$ $2$
  1. $y=2x -1.2$

  2. $y=1.2x +1.2$

  3. $y=1.2x -1.2$

  4. $y=1.2x -2$


Correct Option: C
Explanation:
 $x$  $y$  $x^2$  $x\times y$
 $8$  $9$  $64$  $72$
 $6$  $8$  $36$  $48$
 $4$  $5$  $16$  $20$
 $7$  $6$  $49$  $42$
 $5$  $2$  $25$  $10$

$\sum x=30$
$\sum y=30$
$\sum x^2=190$
$\sum x\times y=192$
So, $\bar x=\dfrac{\sum x}{n}=\dfrac{30}{5}=6$
$\bar y=\dfrac{\sum y}{n}=\dfrac{30}{5}=6$
$b_{yx}=\dfrac{\sum xy-\dfrac{\sum x \times \sum y}{n}}{\sum x^2-\dfrac{(\sum
x)^2}{n}}=\dfrac{192-180}{190-180}=\dfrac{12}{10}=1.2$
Regression line of y on x will be $y-\bar y=b_{yx}(x-\bar x)$
$y-6=1.2(x-6)$
$y=1.2x-7.2+6$
$y=1.2x-1.2$

For the variables $x$ and $y$, the regression equations are given as $7x-3y-18=0$ and $4x-y-11=0$. Find the arithmetic means of $x$ and $y$ respectively.

  1. $3$ and $1$

  2. $1$ and $3$

  3. $2$ and $4$

  4. $4$ and $2$


Correct Option: A
Explanation:

Since the two lines of regression interest at the point $(\bar{X}, \bar{Y} )$


Replace $x$ and $y$ by $\bar{X}$ and $\bar{Y}$ respectively in the given regression equations.

We get,
$7\bar{X}- 3\bar{Y} - 18 = 0$ and $4\bar{X}-\bar{Y} - 11 = 0$ 


Solving these equations, we get $\bar{X} = 3$ and $\bar{Y} = 1$ 

Thus the arithmetic mean of $x$ and $y$ is given by $3$ and $1$ respectively.

The two lines of regression are $x+2y-5=0$ and $x+3y-8=0$. The coefficient of correlation between $x$ and $y$ is 

  1. $-0.72$

  2. $0.72$

  3. $-0.82$

  4. $0.82$


Correct Option: C
Explanation:

Given two lines $x+2y-5=0, x+3y-8=0$.

Consider $x+2y-5=0$
$\Rightarrow x=-2y+5$
$\Rightarrow r_1=-2$
Consider $x+3y-8=0$
$\Rightarrow y=-\dfrac{1}{3}x+\dfrac{8}{3}$
$\Rightarrow r_2=-\dfrac{1}{3}$
We know that $r^2=r_1 \times r_2$
$\Rightarrow r^2=-2 \times -\dfrac{1}{3}$
$\Rightarrow r^2=\dfrac{2}{3}$
$\Rightarrow r=\pm \sqrt{\dfrac{2}{3}}$
We know that, If both regression coefficients are negative, $r$ would be negative.
$\Rightarrow r=-\sqrt{\dfrac{2}{3}}=-0.82$