St Pauls University Exponential Growth Model Discussion

Answer the following questions :

What is the general form of an exponential growth model?

Are all exponential models linear?

What is  in the general form for a linear model: ?

  • What is  in the exponential model?
  • When is the association negative in an exponential growth model?

  • What do exponential models predict?
  • Introduction to statistics.
    This lab is worth 10 points. To earn full credit, you must complete step 1 and step 2.
    Step 1: Answer all six questions below and be sure to explain your reasoning.
    Step 2: Respond to a minimum of two other classmates. Critique their response and provide feedback.
    Example of satisfactory response to classmates:
    “John, I agree with your response to question 5. However, I would add that you should consider….”
    Example of unsatisfactory response to classmates:
    “John, great job!”






    What is the general form of an exponential growth model?
    Are all exponential models linear?
    What is in the general form for a linear model: ?
    What is in the exponential model?
    When is the association negative in an exponential growth model?

      What do exponential models predict?

    Student 1 . Ana
    The general form of the Exponential growth model is Y= C*b^x.
    Where C is the initial value, and the y value when x=0. It is also the point where the line crosses
    the y intercept.
    B is the growth factor, or the decay factor. But b is always positive. It just depends on if b=less
    or more than 1.
    Exponential models are not all linear. They are in fact what we use when we find our data is
    not supported by a linear shape.
    The general form for the linear model is y= a + bx. Where a is the initial value and it is the y
    value when X = 0. A is also where the line crosses the Y axis.
    And b is the slope, or average, and we can determine the amount and direction the Y Value
    changes for EACH additional 1 unit increase in X.
    IN the exponential model we are given the initial value, C, and we are given the average
    percentage increase/decrease/growth/decay with the b value. E.g., y=121(1.083)^x
    121 is the amount they had on the first data reading, and we can tell the curve is positive
    because b is above 1. And that we know the 1.083 is actually 108.3. the 100% being no change
    from the year before, so 8.3% change in the years to come. We then put in how many years
    forward we want to calculate, and put that number on the x. e.g., 4 years would look like,
    Y=121(1.083)^4.
    The negative association shows a decline/decay over the years. It is also when the b value =
    less than 1. Eg, 0.76
    Exponential models predict either the decay or growth in a graph beyond what our original
    data tells us.
    Student 2. emi
    1. The general form of an exponential growth model is y=C x b^x.
    2. Exponential models are best represented as non-linear models, as the pattern in the
    residuals is more scattered when using a linear model.
    3. The general form of a linear model is y=a+bx, where a represents the initial value or yintercept, b is the slope, and x is the independent variable.
    4. In the exponential model, c is the value when x is equal to 0. B can be either the growth
    factor or the decay factor and it is raised to a constant exponent.
    5. When is the association negative in an exponential growth model? The association is
    negative in an exponential growth model when b is greater than 0 and less than 1. This would
    make b the decay factor and y would decrease.
    6. Exponential models predict the growth or decay of a quantitative variable in the future by
    multiplying by a constant.

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