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Exercise $5-22($Algo$)$ Complete the accounting cycle using receivable transactions $($LO$5-1,5-2,5-4,5-5,$

$5-7)$

$[$The following information applies to the questions displayed below.$]$

The general ledger of Pop's Fireworks includes the following account balances on December $31,2024$:

In addition, the following transactions occurred during $2024$ and are not yet reflected in the account balances above:

Provided additional services on account for $$17,000.$ All services on account include terms $\frac{2}{10},\frac{n}{30}.$

Received cash from customers within $10$ days of the services being provided on account. The customers were

originally charged $$10,000.$

Wrote off customer accounts of $$2,500$ as uncollectible.

Exercise $5-22($Algo$)$ Part $5$

Prepare a classified balance sheet as of December $31,2024.($Amounts to be deducted should be indicated with a minus sign.$)$

####### As usual, don't forget the strings $=$ T argument.

bikesread.csv$("$bikeshare$.$csv$",$ strings$=$T$)$there are quantitative variables and to confirm that thestr$($bikes$)$CG Q$2$a # Using glm$(),$ build a logistic regression model that has

####### high count $($greater than $7,000)$ as the response and

####### the temperature variable as predictor.

####### Name your fitted model logisticFit$.$

####### Hint: To model the binary response, use cnt$>7000$ as the response.

# CG Q$2$b # Use the summary$()$ function on logisticFit

###### to access the results of the regression.

# CG Q$2$C # Print the coefficient for temperature. Use coef$($logisticFit$)$

####### followed by the name of that coefficient in quotes

####### inside square brackets as you did in your linear regression HW$.$

# CG Q$2$d$\text{'}$ # Now print the multiplicative effect of temperature

####### on the odds of ride count being higher than $7,000$ by

####### wrapping the line of code from Q$2$c in the $)$ function.

# CG Q$2$e # Using the result from Q$2$d$,$ determine how the odds of the

####### ride count being higher than $7,000$ change with a $1$ degree

####### increase in temperature.

####### A: up $1$ degree, B: up $13$ degrees, C: up by $1\%,$ D: up $13\%,E$ : down $12\%$

####### Use paste$("$letter$")$ to indicate your answer. For example,

####### if you think $A$ is the correct answer, type paste$("$A$").$

# CG Q$2$f # Find the R$-$squared for the regression.

####### In your calculation, use logisticFit$deviance and

####### logisticFit$null. deviance and not the numbers printed

####### in the summary output for these.

# Question $3$ # Predict probability of success

# CG $03$ # You will oredict the nrobabilitv of more than $7\mathrm{.}000$ rides