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The Following Ordered Pairs Represent Temperatures in Degrees Fahrenheit Taken

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The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ) , (2:00 pm ,   ) , (3:00 pm ,   ) , (4:00 pm ,   ) , (5:00 pm ,   )  A)    B)    C)    D)    E)   corresponds to 1:00 pm, The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ) , (2:00 pm ,   ) , (3:00 pm ,   ) , (4:00 pm ,   ) , (5:00 pm ,   )  A)    B)    C)    D)    E)   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm , The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ) , (2:00 pm ,   ) , (3:00 pm ,   ) , (4:00 pm ,   ) , (5:00 pm ,   )  A)    B)    C)    D)    E)   ) , (2:00 pm , The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ) , (2:00 pm ,   ) , (3:00 pm ,   ) , (4:00 pm ,   ) , (5:00 pm ,   )  A)    B)    C)    D)    E)   ) , (3:00 pm , The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ) , (2:00 pm ,   ) , (3:00 pm ,   ) , (4:00 pm ,   ) , (5:00 pm ,   )  A)    B)    C)    D)    E)   ) , (4:00 pm , The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ) , (2:00 pm ,   ) , (3:00 pm ,   ) , (4:00 pm ,   ) , (5:00 pm ,   )  A)    B)    C)    D)    E)   ) , (5:00 pm , The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ) , (2:00 pm ,   ) , (3:00 pm ,   ) , (4:00 pm ,   ) , (5:00 pm ,   )  A)    B)    C)    D)    E)   )


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