Answer: 
Explanation:
Given
Initial position of object is (4.4 i+5 j)
Final position of object is (11.6 i -2 j)
Force acting (4i-9j)
Work done is given by

Initial kinetic energy

Change in kinetic energy is equal to work done by object

Sin of a right triangle is opposite divided by hypotenuse
in this case, that is 5/8.6 = 0.581395349<span>
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you can easily remember the trig functions with this acronym:
SOH-CAH-TOA
S: Sine
O: Opposite
H: Hypotenuse
C: Cosine
A: Adjacent
H: Hypotenuse
T: Tangent
O: Opposite
A: Adjacent
Answer:
Q₁ = Q₂ = 8.84 x 10⁻⁹ C
Explanation:
given,
mass of ball, m = 0.16 g = 1.6 x 10⁻⁴ Kg
ball each other, r = 6.8 cm
Weight of the ball
F_w = m g
F_w = 1.6 x 10⁻⁴ x 9.8
F_w = 1.56 x 10⁻³ N
The tension in each string is a force directed along the length of the string and is the hypotenuse of a right triangle.
we have to find the horizontal component of the forces.
The length of the string,L is 35 cm so, it will be the hypotenuse.
θ be the angle made with imaginary vertical line and the string.
now,
θ = 5.57°
horizontal component of the force = ?
vertical component of force,F_v = 1.56 x 10⁻³ N


F_h = 1.52 x 10⁻⁴ N
now, each ball will be repelled by
F = 1.52 x 10⁻⁴ N
now calculation of charges

Q₁ = Q₂ because both charge are same

Q² = 7.809 x 10⁻¹⁷
Q = 8.84 x 10⁻⁹ C
hence the change on the balls were Q₁ = Q₂ = 8.84 x 10⁻⁹ C
Answer:
a)
Explanation:
because you said time which is speed and acceleration which space
Answer:
Value closest to 1
Explanation:
It is described from the scenario above that ice cream sales decreases as the outside temperature increases, hence showing a strong relationship between both variables (icream sales and temperature). The correlation Coefficient is a metric used in regression modeling to depict the strength of relationship between two variables, (The dependent and independent variables). Correlation Coefficient ranges from (-1 to +1). With values close to 1 or - 1. Also the positive and negative signs are used to show the type of relationship between the variables. If an increase in variable A leads to a decrease in variable B, then we have negative correlation (-) ; while an increase or decrease in both variables depicts a positive correlation. The most likely correlation Coefficient for the study above will be a positive value which is close to 1 since the relationship is described as strong.