An exponential equation is a nonlinear regressio

do you need to add the days to the regression equation

Suppose that the regression equation that estimates the value of a car (in dollars) based on its age (in years) is given by: Predicted Value = 21375 - 1215 Age. You have an 8-year old car. How much is it worth?

Imagine that we can predict one person's monthly salary (Y) from the number of years (X) that he has worked before. The regression equation is salary = 4000+50x. If a person has worked 5 years before, what's his predicted monthly salary?

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You use the same bar of soap to shower each morning. The bar weighs 80 grams when it is new. Its weight goes down by 6 grams per day on the average. What is the equation of the regression line for predicting weight from days of use?

Smith is studying the relationship between length (X) and weight (Y) of infants. Please help him fit an exponential growth model to find the relationship between length and weight. Write down the model and explain how to fit the model (i.e., how to estimate regression coefficients) and what the intercept is for the relationship between X and Y (in symbolic form).

A well-balanced stock market portfolio will often experience an exponential growth. A particular investor with a well-balanced stock market portfolio records the portfolio balance every month, in thousands of dollars, from the date of investment. The roughly exponential growth can be transformed to a linear model by plotting the natural log of the balances versus time, in months, where t = 0 represents the date the money was invested. The linear regression equation for the transformed data is   Using this equation, what is the predicted balance of the portfolio after 2 years (24 months)? (A) $5,654 (B) $6,798 (C) $285,431 (D) $896,053 (E) $948,464

The winning time in the Olympic men's 500-meter speed skating race over the years 1924 to 2006 can be described by the following regression equation. winning time = 272.63 − 0.1184(year In 2010, the actual winning time for the gold medal was 34.91 seconds. Use the regression equation to predict the winning time (in seconds) for 2010. sec Compare the prediction to what actually happened. The actual 2010 winning time of 34.91 seconds is seconds slower than the prediction. (c) Explain what the slope of −0.1184 indicates in terms of how winning times change from one set of Olympic games to the next. Olympic games occur every 4 years. Winning times decrease, on average, by seconds from one set of Olympic games to the next. (d) Why should we not use this regression equation to predict the winning time for the men's 500-meter speed skating race in the 2080 Winter Olympics? The predicted winning time for the year 2080 is not possible.We would only be able to predict the winning time…

A researcher found that the linear regression equation has a slope of 3 and an intercept of -6. What is the predicted value of Y for an X of 3?