The table below shows the number of individuals infected with a disease t days after its first detected by the CDC.
For each of the following problems, enter regression equation values with at least 3 decimal places. Enter predictions to the nearest whole individual.
1) Use regression to find an exponential equation that best fits the data above. The equation has form where:
a =
b =
Use the model to predict the number of individuals infected with the disease after 14 days.
individuals
2) Use regression to find a linear equation that best fits the data above. The equation has form where:
m =
b =
Use the model to predict the number of individuals infected with the disease after 14 days.
individuals
3) Use regression to find a quadratic equation that best fits the data above. The equation has form where:
a =
b =
c =
Use the model to predict the number of individuals infected with the disease after 14 days.
individuals
4) Which model best fits the data?
Days | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|
Infected Individuals | 610 | 650 | 666 | 700 | 714 | 748 | 767 | 797 |
For each of the following problems, enter regression equation values with at least 3 decimal places. Enter predictions to the nearest whole individual.
1) Use regression to find an exponential equation that best fits the data above. The equation has form where:
a =
b =
Use the model to predict the number of individuals infected with the disease after 14 days.
individuals
2) Use regression to find a linear equation that best fits the data above. The equation has form where:
m =
b =
Use the model to predict the number of individuals infected with the disease after 14 days.
individuals
3) Use regression to find a quadratic equation that best fits the data above. The equation has form where:
a =
b =
c =
Use the model to predict the number of individuals infected with the disease after 14 days.
individuals
4) Which model best fits the data?