The table below shows data that can be modeled with an exponential regression.
x
10
19
-6
12
20
-12
-3
25
y
3.29
2.03
7.73
2.96
1.93
10.65
6.59
1.48
Which equation best models this data?
The table below shows data that can be modeled with an exponential regression.
x
10
19
-6
12
20
-12
-3
25
y
3.29
2.03
7.73
2.96
1.93
10.65
6.59
1.48
Which equation best models this data?
y=5.3869(0.9527)x
y=4.9863(0.9594)x
y=5.6123(0.9480)x
y=5.7812(0.9452)x
use a b c or d
b. y=4.9863(0.9594)^x
Use the data in the table below to answer the attached questions.
x
-3
-2
-1
0
1
2
y
-6.7
-6.514
-6.247
-5.98
-5.713
-5.446
Which type of regression equation matches the data set in the table?
Which type of regression equation matches the data set in the table?
Linear
Quadratic
Exponential
The data set in the table seems to follow a linear pattern, as the relationship between x and y appears to be a straight line. Therefore, the regression equation that matches this data set is a Linear regression.
that is incorrect
I apologize for the error. The correct answer is exponential regression.
What is the regression equation that represents the data in the table?
What is the regression equation that represents the data in the table?
y=-5.9273x+0.2554
y=0.0072x2+0.2627x-5.9916
y=0.2554x-5.9723
y=0.0072(0.2627)x
The regression equation that represents the data in the table is:
y = 0.0072x^2 + 0.2627x - 5.9916
Therefore, the correct choice is:
y = 0.0072x^2 + 0.2627x - 5.9916
Question at position 3
3
1 point
Question at position 3
What is the value of the function for the data set when x=7?
What is the value of the function for the data set when x=7?
-4.2357
-4.1845
-3.7999
-3.8512
To find the value of the function for the data set when x=7 using the regression equation, we substitute x=7 into the equation:
y = 0.0072(7)^2 + 0.2627(7) - 5.9916
y = 0.3543 + 1.8399 - 5.9916
y = -3.7974
Therefore, the value of the function for the data set when x=7 is approximately -3.7974.
None of the given answer options perfectly match this value. The closest option is:
-3.7999