Use the image to answer the question.

An illustration shows a scatterplot with 25 points in quadrant 1. The x-axis is labeled daily high temperature and ranges from 60 to 95 degrees. The y-axis is labeled daily sales and ranges from 25 to 95 dollars. The x-axis shows temperature values in 5 degree increments. The y-axis shows sales in 10 dollar increments. The approximate coordinates of the points are as follows: left parenthesis 58 comma 23 right parenthesis, left parenthesis 60 comma 34 right parenthesis, left parenthesis 64 comma 19 right parenthesis, left parenthesis 66 comma 58 right parenthesis, left parenthesis 69 comma 43 right parenthesis, left parenthesis 69 comma 53 right parenthesis, left parenthesis 72 comma 48 right parenthesis, left parenthesis 74 comma 49 right parenthesis, left parenthesis 75 comma 49 right parenthesis, left parenthesis 77 comma 54 right parenthesis, left parenthesis 78 comma 57 right parenthesis, left parenthesis 78 comma 65 right parenthesis, left parenthesis 80 comma 54 right parenthesis, left parenthesis 81 comma 68 right parenthesis, left parenthesis 82 comma 63 right parenthesis, left parenthesis 84 comma 74 right parenthesis, left parenthesis 84.5 comma 67 right parenthesis, left parenthesis 85 comma 80 right parenthesis, left parenthesis 87 comma 74 right parenthesis, left parenthesis 88.5 comma 73.5 right parenthesis, left parenthesis 87.5 comma 95 right parenthesis, left parenthesis 91 comma 76 right parenthesis, left parenthesis 92.5 comma 69 right parenthesis, and left parenthesis 94 comma 86 right parenthesis, and left parenthesis 94.5 comma 80 right parenthesis.

Using the trend line, what whole number could you infer the daily sales amount is when the temperature is 68°? Round your answer to the nearest whole number.

(1 point)
$
Remaining Attempts : 3
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1 answer

To estimate the daily sales amount when the temperature is 68°, we can analyze the pattern in the scatterplot and apply the trend line concept.

While I cannot see the image, based on typical scatterplot trends, you would look at the y-values corresponding to x-values around 68° (specifically the points for 66° and 69°).

  • For 66°, the corresponding y-value (daily sales) appears to be 58.
  • For 69°, the corresponding y-value (daily sales) seems to be in the range of 43 to 53.

Since 68° is between these two temperatures, you could estimate the daily sales somewhere between the y-values at these two points.

If we apply linear interpolation, we might assume daily sales at 68° would fall within that range, likely closer to 58 since the values appear to be increasing overall at that temperature threshold.

A reasonable estimate could put daily sales at around $50, rounding it to the nearest whole number.

So, the inferred daily sales amount for a temperature of 68° is likely $50.