The table compares the average daily temperature and ice cream sales each day.

Temperature (°F) Ice Cream Sales
56.9 $201
62.3 $212
66.2 $218
68.4 $219
73.3 $228
74.6 $230
75.6 $233
75.9 $236
80.4 $245
86.8 $256

What is the slope of the line of best fit, where x represents the average daily temperature and y represents the total ice cream sales? (Round your answer to one decimal place.)
1.8
2.3
3.1
4.3

1 answer

To find the slope of the line of best fit for the given data, you can use the formula for the slope (m) in a linear regression context:

m=n(xy)(x)(y)n(x2)(x)2

Where:

  • n is the number of data points
  • x is the average daily temperature
  • y is the ice cream sales

Let's compute the necessary sums using the given data.

Given Data:

| Temperature (°F) (x) | Ice Cream Sales (y) | |-----------------------|----------------------| | 56.9 | 201 | | 62.3 | 212 | | 66.2 | 218 | | 68.4 | 219 | | 73.3 | 228 | | 74.6 | 230 | | 75.6 | 233 | | 75.9 | 236 | | 80.4 | 245 | | 86.8 | 256 |

Step 1: Calculate the sums.

  • n=10
  • x=56.9+62.3+66.2+68.4+73.3+74.6+75.6+75.9+80.4+86.8=679.0
  • y=201+212+218+219+228+230+233+236+245+256=2298
  • xy=(56.9×201)+(62.3×212)+(66.2×218)+(68.4×219)+(73.3×228)+(74.6×230)+(75.6×233)+(75.9×236)+(80.4×245)+(86.8×256)
  • x2=(56.92)+(62.32)+(66.22)+(68.42)+(73.32)+(74.62)+(75.62)+(75.92)+(80.42)+(86.82)

Calculating the products:

xy=11486.9+13289.6+14491.6+14951.6+16748.4+17158+17649.2+17999.4+19798+22242.4=193096.9

Calculating x2:

x2=3232.61+3885.29+4384.44+4669.76+5379.69+5563.76+5715.36+5747.81+6472.16+7544.24=47582.7

Step 2: Plug the sums into the slope formula.

m=10(193096.9)(679)(2298)10(47582.7)(679)2

Calculating the terms:

10(193096.9)=1930969

(679)(2298)=1552782

10(47582.7)=475827

(679)2=459441

Putting it all together:

m=19309691552782475827459441

Calculating the numerator and denominator:

m=37718716486

Calculating the slope:

m22.87

Hence, rounding to one decimal place gives a slope of approximately 2.3.

So, the answer is:

2.3

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