Answer:
The answer to your question is y = 4 - 1.5x
Step-by-step explanation:
Data
River's speed = 2 mi/h
David's speed = 6 mi/h
Rate of change = 1.5 mi/h
From the data given, we can conclude that the rate of the boat will be the difference between David's speed and the speed of the boat = 4mi/h.
The slope must be negative because it decreases.
The only equation that satisfies both conditions is the second option.
The statistical goal of multiple regression analysis is to build a linear equation model that identifies the optimal weighted linear combination of independent variables in the study in order to optimally predict the reference variable.
Regression analysis is usually performed for one of two purposes. Predicting the value of the dependent variable of a person whose information about the explanatory variable is available, or estimating the effect of the explanatory variable on the dependent variable.
In multiple regression analysis, researchers can determine the strength of the relationship between the outcome (dependent variable) and multiple predictors, and the importance of each predictor in the relationship, often the effect of other predictors. It can be evaluated by statistically eliminating it.
Learn more about multi regression model here: brainly.com/question/17844286
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Answer:
6.89
Step-by-step explanation:
(6.89+14.52)+(-14.52)
=6.89+14.52-14.52 First take away the parenthesis
=6.89 The positive and negative 14.52 cancel out
Answer:
The nail would be 30 feet above the ground in 10 years.
Step-by-step explanation:
We are given the following in the question:
Height of nail = 10 feet.
The tree grows taller at a rate of 2 feet per year.
Thus, the height of nail can be represented by a linear function:
where t is the number of years.
We have to find the height of nail in 10 years.
Putting t = 10, we get,
Thus, the nail would be 30 feet above the ground in 10 years.
Answer:
Step-by-step explanation:
Given that:
For year 2000; x = 0
So; 
For year 2001; x = 1
For year 2002; x = 2
For year 2003; x = 3
For year 2005; x = 5
r(5) = 16
For year 2010; x = 10
For year 2018; x =18
Thus, the table can be presented as seen below.
Year 2000 2001 2002 2003 2005 2010 2018
x 0 1 2 3 5 10 18
r(x) 35 22.8 14.8 11 16 102 458
SO, we will notice that the revenue for the albums starts decreasing and when it reaches the minimum, it started increasing with increasing x.
The attribute behind this trend is because the revenue function r(x) typically implies that it is a quadratic function.
