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3 years ago

Please help !!! Which statement regarding the number of solutions for the linear equation shown below is true?

Mathematics

1 answer:

docker41 [41]3 years ago

4 0

Answer:

A-There is no solution

Step-by-step explanation:

There are no values of x

HOPE THIS HELP!!!1

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Which unit price is the highest? turnips for $1.51 per pound peppers for $1.62 per pound parrots for $1.26 per pound celery for

Rom4ik [11]

Answer:

The highest price is of peppers $1.62

Step-by-step explanation:

Cost of turnips per pound = $1.51

Cost of peppers per pound = $1.62

Cost of the carrots per pound = $1.26

Cost of celery per pound = $1.48

As all the costs are given in the same unit prices, we can simply compare the prices to find out highest value.

The highest price is of peppers $1.62.

7 0

4 years ago

Read 2 more answers

Help and explain explain !!!!!!!!!!

tigry1 [53]

Answer:

$x=-1\text{ or }x=11$

Step-by-step explanation:

For $a=|b|$ , we have two cases:

$\begin{cases}a=b,\\a=-b\end{cases}$

Therefore, for $18=|15-3x|$ , we have the following cases:

$\begin{cases}18=15-3x,\\18=-(15-3x)\end{cases}$

Solving, we have:

$\begin{cases}18=15-3x, -3x=3, x=\boxed{-1},\\18=-(15-3x), 18=-15+3x, 33=3x, x=\boxed{11}\end{cases}$ .

Therefore,

$\implies \boxed{x=-1\text{ or }x=11}$

3 0

3 years ago

Helpppppppppppppppppppppppppppppppppppp

yanalaym [24]

Answer:

Step-by-step explanation:

a^3b^2c = b(a^3bc)

5bc = b(5c)

15a^2b = b(15a^2)

GCF = b

6 0

3 years ago

At a recent county fair, you observed that at one stand people's weight was forecasted, and were surprised by the accuracy (with

MatroZZZ [7]

Answer:

a)Slope: $\hat \beta_1 =\frac{7625.9}{1248.9}=6.106$

Intercept: $\hat \beta_o = 157.955 -6.106 (69.686)=-267.548$

b) $r=\frac{7625.9}{\sqrt{[1248.9][94228.8]}}=0.657$

And the determination coeffecient is $r^2 = 0.657^2 =0.432$

Step-by-step explanation:

Data given and definitions

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.

The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"

When we conduct a multiple regression we want to know about the relationship between several independent or predictor variables and a dependent or criterion variable.

n=110, $\sum x_i y_i = \sum (X-\bar X)(Y-\bar Y) =7625.9,\sum x^2_i=\sum (x-\bar x)^2 =1248.9 , sum y^2_i=\sum(y-\bar y)^2 =94228.8$