Given:- ; , where a is any positive real number.
Consider the helix parabolic equation :
now, take the derivatives we get;
As, we know that two vectors are orthogonal if their dot product is zero.
Here, are orthogonal i.e,
Therefore, we have ,
take t common in above equation we get,
⇒ or
To find the solution for t;
take
The number determined from the coefficients of the equation
The determinant
Since, for any positive value of a determinant is negative.
Therefore, there is no solution.
The only solution, we have t=0.
Hence, we have only one points on the parabola i.e <1,0>
Answer:
53151 for Bill Randall
66565 for Corrine Brown
Step-by-step explanation:
X + X+13414 = 119716
2x + 13414 = 119716
2x = 106302
x=53151
119716 - 53151 = 66565
Answer:
36 miles
Step-by-step explanation:
If she can drive 12 miles only using 1/3 of a gallon of gas, that means if she uses a full gallon (3/3) she would be driving 36 miles.
12/1 x 1/3
36/1 x 3/3
Multiply the numerators by 3.
Answer:
well 660
Step-by-step explanation:
well frist we will have to subtract 408 with every other number
408-138=270
270-111=159
this is what he had left
but if it's the other way around 410+140+110=660
B. an arrangement in which you receive goods or services in exchange for other goods and services
C. an arrangement in which you receive money now and pay it back later with fees
Answer:
C
Step-by-step explanation:
98
76
100
88
82
70
What is the range of their test scores?
Let
x -----> number of practice throws
y -----> the number of free throws
Part A
Linear Model
Using a Linear Regression Calculator
we have
ŷ = 2.352X - 0.852
see the attached figure
Remember that
With linear regression, the coefficient of determination is equal to the square of the correlation between the x and y variables
the coefficient r=0.919
Quadratic model
Using a Quadratic regression Calculator
we have
y=0.073x^2+1.205x+2.555
correlation coefficient r=0.925 ------> strong correlation
see the attached figure
Exponential model
Using an Exponential Regression Calculator
we have
y=4.229(1.17)^x
Correlation:r=0.913
see the attached figure
Part B
The model that best fits the data is the Quadratic model because its value of r is greater than the linear model and greater than the exponential model