need help with code using R and for the final answers $($attached questions and note pack$)$ step by step process of how to code and final answers please.

CRIME$1.$csv contains data on arrests during the year $1986$ and other information on $2,725$ men born in either $1960$ or $1961$ in California. Each man in the sample was arrested at least once prior to $1986.$ The variable narr$86$ is the number of times the man was arrested during $1986$: it is zero

for most men in the sample, and it varies from $0$ to $12.$

The variable pcnv is the proportion $($not percentage$)$ of arrests prior to $1986$ that led to conviction, avgsen is average sentence length served for prior convictions $($zero for most people$),$ ptime$86$ is months spent in prison in $1986,$ and qemp$86$ is the number of quarters during which the man was

employed in $1986($from zero to four$).$

Define the variable y as $1$ when narr$86$ is not $0,$ and $0$ otherwise.

A model explaining the probability to be arrested is $y={}_0+{}_{1}pcnv+{}_2$avgsen $+{}_3$ptime$86+$

where pcnv is a proxy for the likelihood for being convicted of a crime and avgsen is a measure of

expected severity of punishment, if convicted. The variable ptime$86$ captures the incarcerative

effects of crime: if an individual is in prison, he cannot be arrested for a crime outside of prison.

Labor market opportunities are crudely captured by qemp$86.$

Estimate this $logit$ model using all observations and report input.

$1.$ Using this estimated model, and given the features of the second sample observation

$($observation #$2),$ what is the estimated probability that this individual is arrested in $1986?$

$2.$ Suppose you do not observe the value of y for observation #$2.$ Based on your answer in $1,$

would you predict an arrest for this individual? Explain.

$3.$ Now looking at the actual value y for observation #$2,$ is your prediction from question $2$ correct?

$4.$ Interpret the estimate associated with avgsen.

$5.$ What is the estimated marginal effect of pcnv on the log$($odds$)($the odds being $[($P$($arrest$)/1-$P$($Arrest$)]?$