Sovi.AI - AI Math Tutor

Scan to solve math questions

QUESTION IMAGE

according to data collected by the world bank, the number of internet u…

Question

according to data collected by the world bank, the number of internet users in the united states and china has varied over the past decade as follows:

a) find a linear - regression modeling the number (in millions) of internet users u in the united states t years from 1998. round your slope and vertical intercept to three decimal places.
the number of internet users in the united states t years from 1998 is u(t) =

b) find a linear - regression modeling the number (in millions) of internet users c in china t years from 1998. round your slope and vertical intercept to three decimal places.
the number of internet users in china t years from 1998 is c(t) =

c) according to your models when will china have more internet users than the united states? round to the nearest year.
after the year, china will have more internet users.

Explanation:

Step1: Recall linear - regression formula

The linear - regression equation is of the form $y = mx + b$, where $m$ is the slope and $b$ is the y - intercept. For the US data points $(t_i,U_i)$ where $t$ is the number of years since 1998 and $U$ is the number of internet users (in millions).
Let's assume we have data points $(t_1,U_1),(t_2,U_2),\cdots,(t_n,U_n)$. The slope $m=\frac{n\sum_{i = 1}^{n}t_iU_i-\sum_{i = 1}^{n}t_i\sum_{i = 1}^{n}U_i}{n\sum_{i = 1}^{n}t_i^{2}-(\sum_{i = 1}^{n}t_i)^{2}}$ and the y - intercept $b=\frac{\sum_{i = 1}^{n}U_i - m\sum_{i = 1}^{n}t_i}{n}$.
For the US data: Let $t = 0$ for 1998, $t = 2$ for 2000, $t = 4$ for 2002, $t = 6$ for 2004, $t = 8$ for 2006, $t = 10$ for 2008. The data points for the US are $(0,41.31),(2,81.0),(4,131.17),(6,178.1),(8,208.5),(10,223.4)$.
$n = 6$, $\sum_{i = 1}^{6}t_i=0 + 2+4 + 6+8 + 10=30$, $\sum_{i = 1}^{6}U_i=41.31+81.0+131.17+178.1+208.5+223.4 = 863.48$, $\sum_{i = 1}^{6}t_iU_i=0\times41.31+2\times81.0+4\times131.17+6\times178.1+8\times208.5+10\times223.4=0 + 162+524.68+1068.6+1668+2234=5657.28$, $\sum_{i = 1}^{6}t_i^{2}=0^{2}+2^{2}+4^{2}+6^{2}+8^{2}+10^{2}=0 + 4+16+36+64+100 = 220$.
$m_{U}=\frac{6\times5657.28-30\times863.48}{6\times220 - 30^{2}}=\frac{33943.68-25904.4}{1320 - 900}=\frac{8039.28}{420}\approx19.141$.
$b_{U}=\frac{863.48-19.141\times30}{6}=\frac{863.48 - 574.23}{6}=\frac{289.25}{6}\approx48.208$.
So, $U(t)=19.141t + 48.208$.

Step2: Calculate linear - regression for China

For the China data points $(t_i,C_i)$. The data points for China are $(0,1.31),(2,22.5),(4,59.1),(6,94.04),(8,137.18),(10,221.68)$.
$n = 6$, $\sum_{i = 1}^{6}t_i = 30$, $\sum_{i = 1}^{6}C_i=1.31+22.5+59.1+94.04+137.18+221.68=535.81$, $\sum_{i = 1}^{6}t_iC_i=0\times1.31+2\times22.5+4\times59.1+6\times94.04+8\times137.18+10\times221.68=0 + 45+236.4+564.24+1097.44+2216.8=4160.88$, $\sum_{i = 1}^{6}t_i^{2}=220$.
$m_{C}=\frac{6\times4160.88-30\times535.81}{6\times220 - 30^{2}}=\frac{24965.28-16074.3}{420}=\frac{8890.98}{420}\approx21.170$.
$b_{C}=\frac{535.81-21.170\times30}{6}=\frac{535.81 - 635.1}{6}=\frac{- 99.29}{6}\approx - 16.548$.
So, $C(t)=21.170t-16.548$.

Step3: Find when China has more users than the US

We want to find $t$ such that $C(t)>U(t)$.
$21.170t-16.548>19.141t + 48.208$.
$21.170t-19.141t>48.208 + 16.548$.
$2.029t>64.756$.
$t=\frac{64.756}{2.029}\approx32$.
Since $t$ is the number of years since 1998, the year is $1998 + 32=2030$.

Answer:

a) $U(t)=19.141t + 48.208$
b) $C(t)=21.170t-16.548$
c) After the year 2030, China will have more internet users.