3. You have the information that the number of cases of influenza on Dec 31 (day 0) was 29 and on day 5 there were 32 cases. Define variables: t = time in days since Dec 31 C = number of cases a. Assume this situation is linear. Write a formula for this situation. C=·t+29 c. Assume this situation is exponential. Write a formula for this situation. d. Use your exponential formula to determine when the number of cases will hit 128
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
3. You have the information that the number of cases of influenza on Dec 31 (day 0) was 29 and on day 5 there were 32 cases.
Define variables: t = time in days since Dec 31
C = number of cases
a. Assume this situation is linear. Write a formula for this situation. C=·t+29
c. Assume this situation is exponential. Write a formula for this situation.
d. Use your exponential formula to determine when the number of cases will hit 128
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