Global use of cell phones grew rapidly between 1989 and 2000. below is a scatterplot of the percentage of people in the world who are cell phone subscribers versus year for this time interval, along with the residual plot from a linear regression analysis. (a) is a linear model appropriate for these data? justify your answer. (b) below is a scatterplot of the natural logarithm of cell phone subscribers vs. year. this relationship is clearly more linear that the one above. does this suggest that the relationship between cell phone subscribers and year can be modeled by an exponential function or by a power function? explain. (c) computer output from the regression of ln (cell phone subscribers) vs. year is given below. use it to predict the percentage of people in the world who were cell phone subscribers in 2005. (d) comment on the reliability of this prediction.

Explanation:

A)

The regression equation is,

ln(Cell Phone Subscribers) = -820.894 + 0.411704 Year

or,

Percent of Cell Phone Subscribers = exp(--820.894 + 0.411704 Year)

For the year 2005,

Percent of Cell Phone Subscribers = exp(--820.894 + 0.411704 * 2005)

= 96.79%

B)

P-value for the significance of the slope is very low (0.000). Thus, the model is statistically significant and the prediction of the model is highly reliable.

being born in poverty would limit the people's chances, opportunities and benefits.

this happen because of several things, such as:

- poor people tend to gain less access to good education and nutrition. this mean that their chance to obtain high paying jobs would also be limited.

- poor people tend to socialize with other poor people while the rich tend to socialize with other rich people. this means that simply throguh their social circle, rich people would have more business opportunities compared to the poor people.

- rich people tend to have more capital in their disposal. this would benefit them in business since it is far easier for them to fund their business operation compared to poor people.

answer; ///after donning a gown, mask and eyewear;