Answer:
The weight of the body in the new planet is 100 newtons.
Explanation:
From Newton's Law of Gravitation we find that gravitational force is directly proportional to mass of the planet and inversely proportional to the square of its radius. From this fact we can build the following relationship:
(1)
Where:
,
- Gravitational force, measured in newtons.
,
- Mass of planet, measured in kilograms.
,
- Radius of the planet, measured in meters.
If we know that
,
and
, then the expected gravitational force in the new planet is:



The weight of the body in the new planet is 100 newtons.
Answer
Plane
There are two types of curved mirrors, concave and convex. Both curved mirrors form that are magnified.
Concave will form an image on the same side as the object and it may not be the mirror used.
Plane mirror on the other hand forms images behind the mirror in all cases. The image formed is upright meaning it is virtual.
∴ The mirror used is a plane mirror.
Answer:
← 63 N and → 73 N
Explanation: i think plz tell me if im wrong
Answer:
What are 3 different scenarios of the Endocrine system and what hormones are used in each? As well as the explanation of what happens in their nervous system with this scenario.
Explanation:
This is random but whatever :) You don't actually have to answer if you don't know or whatever haha
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.