Question 14 Marks
Read the following text and answer the following questions on the basis of the same:
The following data shows the percentage of rural, urban and suburban Indians who have a high speed internet connection at home:

Q. 1. A straight line trend by the method of least square for the Rural Indians is:
(A) $y_t=11.6+5.2 x$
(B) $y_t=23+6.9 x$
(C) $y_t=23.6+7.4 x$
(D) $y_t=13.2+4.5 x$
Q. 2. A straight line trend by the method of least square for the Urban Indians is:
(A) $y_t=11.6+5.2 x$
(B) $y_t=23+6.9 x$
(C) $y_t=23.6+7.4 x$
(D) $y_t=13.2+4.5 x$
Q. 3. A straight line trend by the method of least square for the Suburban Indians is:
(A) $y_t=11.6+5.2 x$
(B) $y_t=23+6.9 x$
(C) $y_t=23.6+7.4 x$
(D) $y_t=13.2+4.5 x$
Q. 4. What is the forecast for the year 2022 for urban group using trend equation?
(A) 58.6% (B) 43.7% (C) 37.2% (D) 27.2%
The following data shows the percentage of rural, urban and suburban Indians who have a high speed internet connection at home:
| Year (t) | Rural | Urban | Suburban |
| 2017 | 3 | 9 | 9 |
| 2018 | 6 | 18 | 17 |
| 2019 | 9 | 21 | 23 |
| 2020 | 16 | 29 | 29 |
| 2021 | 240 | 380 | 40 |

Q. 1. A straight line trend by the method of least square for the Rural Indians is:
(A) $y_t=11.6+5.2 x$
(B) $y_t=23+6.9 x$
(C) $y_t=23.6+7.4 x$
(D) $y_t=13.2+4.5 x$
Q. 2. A straight line trend by the method of least square for the Urban Indians is:
(A) $y_t=11.6+5.2 x$
(B) $y_t=23+6.9 x$
(C) $y_t=23.6+7.4 x$
(D) $y_t=13.2+4.5 x$
Q. 3. A straight line trend by the method of least square for the Suburban Indians is:
(A) $y_t=11.6+5.2 x$
(B) $y_t=23+6.9 x$
(C) $y_t=23.6+7.4 x$
(D) $y_t=13.2+4.5 x$
Q. 4. What is the forecast for the year 2022 for urban group using trend equation?
(A) 58.6% (B) 43.7% (C) 37.2% (D) 27.2%
Answer
View full question & answer→(1) (A) $y_t=11.6+5.2 x$
Here, n = 5 $a=\frac{\Sigma y}{n}$ and $b=\frac{\Sigma x y}{\Sigma x^2}$
So, $a=\frac{58}{5}=11.6$
and $b=\frac{52}{10}=5.2$
Thus, trend equation is given by $y_t=a+b x$
i.e $y_t=11.6+5.2 x$
(2) (B) $y_t=23+6.9 x$
Here, n = 5 $a=\frac{\Sigma y}{n}$ and $b=\frac{\Sigma x y}{\Sigma x^2}$
So, $a=\frac{115}{5}=23$
and $b=\frac{69}{10}=6.9$
Thus, trend equation is given by $y_t=a+b x$
i.e. $y_t=23+6.9 x$
(3) (C) $y_t=23.6+7.4 x$
Here, n = 5 $a=\frac{\Sigma y}{n}$ and $b=\frac{\Sigma x y}{\Sigma x^2}$
So, $a=\frac{118}{5}=23.6$
and $b=\frac{74}{10}=7.4$
Thus, trend equation is given by $y_t=a+b x$
i.e.$y_t=23.6+7.4 x$
(4) (B) 43.7%
Explanation: For year 2022, x = 3
The trend equation for urban is
$y_t=23+6.9 x$
So, at x = 3
we get $y_l=23+6.9(3)$
= 43.7%
| Year (t) | Rural (y) | x = $t_i$-2019 | $x^2$ | xy |
| 2017 | 3 | -2 | 4 | -6 |
| 2018 | 6 | -1 | 1 | -6 |
| 2019 | 9 | 0 | 0 | 0 |
| 2020 | 16 | 1 | 1 | 16 |
| 2021 | 24 | 2 | 4 | 48 |
| $\Sigma y=58$ | $\Sigma x^2=10$ | $\Sigma x y=52$ |
So, $a=\frac{58}{5}=11.6$
and $b=\frac{52}{10}=5.2$
Thus, trend equation is given by $y_t=a+b x$
i.e $y_t=11.6+5.2 x$
(2) (B) $y_t=23+6.9 x$
| Year (t) | Rural (y) | x = $t_i$-2019 | $x^2$ | xy |
| 2017 | 9 | -2 | 4 | -18 |
| 2018 | 18 | -1 | 1 | -18 |
| 2019 | 21 | 0 | 0 | 0 |
| 2020 | 29 | 1 | 1 | 29 |
| 2021 | 38 | 2 | 4 | 76 |
| $\Sigma y=115$ | $\Sigma x^2=10$ | $\Sigma x y=69$ |
So, $a=\frac{115}{5}=23$
and $b=\frac{69}{10}=6.9$
Thus, trend equation is given by $y_t=a+b x$
i.e. $y_t=23+6.9 x$
(3) (C) $y_t=23.6+7.4 x$
| Year (t) | Rural (y) | x = $t_i$-2019 | $x^2$ | xy |
| 2017 | 9 | -2 | 4 | -18 |
| 2018 | 17 | -1 | 1 | -17 |
| 2019 | 23 | 0 | 0 | 0 |
| 2020 | 29 | 1 | 1 | 29 |
| 2021 | 40 | 2 | 4 | 80 |
| $\Sigma y=118$ | $\Sigma x^2=10$ | $\Sigma x y=74$ |
So, $a=\frac{118}{5}=23.6$
and $b=\frac{74}{10}=7.4$
Thus, trend equation is given by $y_t=a+b x$
i.e.$y_t=23.6+7.4 x$
(4) (B) 43.7%
Explanation: For year 2022, x = 3
The trend equation for urban is
$y_t=23+6.9 x$
So, at x = 3
we get $y_l=23+6.9(3)$
= 43.7%