he chart below shows the correlation between altitude and pressure. Make a scatter plot and determine which type of model best fits the data.     linear     quadratic     exponential     square roo

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A: Consider the tables: From the above table: The data is increasing exponentially The exponential…

Q: determine which type of model best fits the data.     linear     quadratic     exponential…

A: We know, the points in a scatter plot show the relationship between two sets of data, and from it we…

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Q: Just want to see if I did it right.

A: Average height of giraffe = 2 x 10 ^1Average height of ant= 4 x 10^-3

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A: We have to find out

Q: dentify the best-fit equation to the data trend. Try several possibilities-linear, parabolic, or…

A: x y Y=log10y x2 x.Y 0 67.38 1.828531007 0 0 4 74.67 1.873146151 16 7.492584605 8 82.74…

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A: Solution : Solving using difference method, x y first difference Second difference Third…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given that  y=ax+b a= -0.784 b=34.422 r2=0.793881 r=0.891

Q: Make a scatter plot of the data and determine which type of model best fits the data.     linear…

A: We  would plot the points in a graph to determine the best fit model.

Q: or the data? The answe

A: hrs vehicles 9 A.M 6.2 11 A.M 7.4 1 P.M 7.5 3 P.M 6.6 5 P.M 3.9 The quadratic model…

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A: Correlation is the degree of relationship between two variables. And regression predicts the value…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given information- We have given the relationship between TV watched (x) and number of sit ups a…

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Q: please answer this in what year? Use the model found above to answer this question. The value x=…

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Q: Determine if the data represented in the table below is linear or exponential. Explain your…

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A: Given, body mass index of 21.52 of an individual who has 150lb weight and 70 in. height. BMI is…

Q: Make a scatter plot of the data and determine which type of model best fits the data.     linear…

A: Given data are (-3, 3), (-2, 2), (-1, 1), (0, 0), (1, 1), (2, 2), (3, 3) Scatter diagram is

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Q: The accompanying scatterplot shows the size (in square feet) and selling prices for homes in a…

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Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: The regression equation is y=ax+b. Here, a=-0.743, b=23.803, the hours of TV watched per day…

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Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: y = ax+b = -1.223x+22.907

Q: c. Is this relationship linear, quadratic, or exponential? Justify your reasoning.

A:

Q: he amount of skin covering a person's body (in square feet) depends on the person's height and…

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Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: The value of a is -0.96 and the value of b is 35.944.

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A: Solution

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A:

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given: y=ax+ba=-0.838b=28.783

Q: he following table showsthe relationship between your wealth and your utility.

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Q: A regression analysis was performed to determine if there is a relationship between hours ofTV…

A: Introduction: The regression equation is of the form: From the results on a and b that are given in…

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A: Solve by plotting points

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given Y=ax+b The predicted line: Y=-0.891x+27.489

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

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Q: An influencer posted a video on YouTube initially had 50 views as soon a was posted. The total…

A: given that total number of views exponentially increases by 42% every hour.

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Q: 4) The length of a violin string varies inversely as the frequency of its vibrations. A violin…

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Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Solution: Let X be the hours of TV watched per day and Y be the number of sit ups a person can do.…

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Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: