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 Is a linear model appropriate for these data Justify your answer (2 points) Below is a scatterplot of the natural logarithm of cell phone subscribers vs year This relationship is clearly more linear than that of 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 (2 points) 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 Is a linear model appropriate for these data Justify your answer (2 points) Below is a scatterplot of the natural logarithm of cell phone subscribers vs year This relationship is clearly more linear than that of 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 (2 points)

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Posted on Oct 10, 2024

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.

Is a linear model appropriate for these data? Justify your answer. (2 points) -
Below is a scatterplot of the natural logarithm of cell phone subscribers vs. year. This relationship is clearly more linear than that of 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. (2 points)
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.

Is a linear model appropriate for these data? Justify your answer. (2 points) -
Below is a scatterplot of the natural logarithm of cell phone subscribers vs. year. This relationship is clearly more linear than that of 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. (2 points)