upload (y)
15861.76
16957.44
14080
5242.88
22067.2
39905.28
9472
11960.32
1146.88
12974.08
13445.12
25344
39976.96
13649.92
78960.64
14120.96
17838.08
3440.64
15278.08
68567.04
16435.2
116766.7
5713.92
12963.84
5222.4
7219.2
6625.28
10240
1873.92
11130.88
8048.64
105.72
7188.48
691.88
5294.08
688.7
209.67
392.22
4229.12
11632.64
4474.88
2897.92
18319.36
12072.96
1894.4
27627.52
18585.6
3706.88
293.89
28487.68
53207.04
2222.08
13987.84
6983.68
15288.32
19671.04
22773.76
22784
7475.2
1105.92

download (x)
333168.6
212152.3
195153.9
40806.4
10772.48
676167.7
166584.3
170977.3
3532.8
130764.8
168089.6
169369.6
571975.7
94228.48
1195377
142612.5
87091.2
11888.64
126566.4
939571.2
141465.6
3030385
15472.64
137687
55398.4
20899.84
86568.96
22845.44
21463.04
49643.52
36106.24
751.23
13578.24
4741.12
12052.48
3706.88
651.48
2365.44
52285.44
99758.08
64860.16
8919.04
9103.36
6072.32
3041.28
68495.36
278251.5
22179.84
528.85
237465.6
1205862
4136.96
233349.1
104550.4
183408.6
60794.88
46663.68
184514.6
18718.72
3420.16

Identify the two variables in your data set. Which will be the independent variable and which is the dependent?

Predict: Will your data show strong, moderate, or no correlation? Will the correlation be positive or negative?

What is the Linear Equation that fits your data? Round values to the nearest hundredth.

What is the Quadratic Equation that fits your data? Round values to the nearest hundredth.

What is the Exponential Equation that fits your data? Round values to the nearest hundredth.

Which equation (linear, quadratic, or exponential) best fits your data? Explain your reasoning.

Did your prediction match your results?